├── latex └── future-exercises.tex ├── _site ├── latex │ └── future-exercises.tex ├── figures │ ├── aima.jpg │ ├── FigArm1.png │ ├── aima_logo.png │ ├── DTL-algorithm.png │ ├── family2-figure.png │ ├── sr-hmm-figure.png │ ├── australia-figure.png │ ├── burglary-figure.png │ ├── de-finetti-table.png │ ├── maze-3x3-figure.png │ ├── ontology-figure.png │ ├── tree-csp-figure.png │ ├── airport-id-figure.png │ ├── bayes-candy-figure.png │ ├── dentist-joint-table.png │ ├── illuminationfigure.png │ ├── jobshop-cpm-figure.png │ ├── line-game4-figure.png │ ├── mt-alignment-figure.png │ ├── vacuum-world-figure.png │ ├── vacuum2-sets-figure.png │ ├── wumpus-seq35-figure.png │ ├── computer-brain-table.png │ ├── enumeration-algorithm.png │ ├── geometric-scene-figure.png │ ├── airport-au-id-exercise.png │ ├── airport-pddl-algorithm.png │ ├── cryptarithmetic-figure.png │ ├── mixture-networks-figure.png │ ├── pl-horn-example-figure.png │ ├── rain-clustering-figure.png │ ├── satplan-agent-algorithm.png │ ├── sussman-anamoly-figure.png │ ├── vacuum-maze-ch4-figure.png │ ├── vacuum-maze-hmm2-figure.png │ ├── wumpus-entailment-figure.png │ ├── battery-persistence-figure.png │ ├── elimination-ask-algorithm.png │ ├── forward-backward-algorithm.png │ ├── logical-equivalence-table.png │ ├── subsumption-lattice-figure.png │ ├── and-or-graph-search-algorithm.png │ ├── backward-chaining-algorithm.png │ ├── hybrid-wumpus-agent-algorithm.png │ ├── restaurant-back-prop-figure.png │ ├── vacuum-agent-function-table.png │ ├── sequential-decision-world-figure.png │ └── sequential-decision-policies-figure.png ├── public │ ├── aima_logo.ico │ ├── fonts │ │ ├── poppins │ │ │ ├── Poppins-Black.ttf │ │ │ ├── Poppins-Bold.ttf │ │ │ ├── Poppins-Light.ttf │ │ │ ├── Poppins-Thin.ttf │ │ │ ├── Poppins-Italic.ttf │ │ │ ├── Poppins-Medium.ttf │ │ │ ├── Poppins-Regular.ttf │ │ │ ├── Poppins-SemiBold.ttf │ │ │ ├── Poppins-BoldItalic.ttf │ │ │ ├── Poppins-ExtraBold.ttf │ │ │ ├── Poppins-ExtraLight.ttf │ │ │ ├── Poppins-ThinItalic.ttf │ │ │ ├── Poppins-BlackItalic.ttf │ │ │ ├── Poppins-LightItalic.ttf │ │ │ ├── Poppins-MediumItalic.ttf │ │ │ ├── Poppins-ExtraBoldItalic.ttf │ │ │ ├── Poppins-SemiBoldItalic.ttf │ │ │ └── Poppins-ExtraLightItalic.ttf │ │ ├── font-awesome-4.7.0 │ │ │ ├── fonts │ │ │ │ ├── FontAwesome.otf │ │ │ │ ├── fontawesome-webfont.eot │ │ │ │ ├── fontawesome-webfont.ttf │ │ │ │ ├── fontawesome-webfont.woff │ │ │ │ └── fontawesome-webfont.woff2 │ │ │ └── less │ │ │ │ ├── fixed-width.less │ │ │ │ └── screen-reader.less │ │ └── Linearicons-Free-v1.0.0 │ │ │ └── WebFont │ │ │ ├── Linearicons-Free.eot │ │ │ ├── Linearicons-Free.ttf │ │ │ ├── Linearicons-Free.woff │ │ │ └── Linearicons-Free.woff2 │ └── apple-touch-icon-precomposed.png └── markdown │ ├── 17-Making-Complex-Decision │ └── exercises │ │ ├── ex_20 │ │ └── question.md │ │ ├── ex_18 │ │ └── question.md │ │ ├── ex_16 │ │ └── question.md │ │ └── ex_14 │ │ └── question.md │ ├── 10-Classical-Planning │ └── exercises │ │ ├── ex_9 │ │ └── question.md │ │ ├── ex_2 │ │ └── question.md │ │ ├── ex_7 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ └── ex_13 │ │ └── question.md │ ├── 1-Introduction │ └── exercises │ │ ├── ex_14 │ │ └── question.md │ │ ├── ex_4 │ │ └── question.md │ │ ├── ex_13 │ │ └── question.md │ │ ├── ex_1 │ │ └── question.md │ │ ├── ex_8 │ │ └── question.md │ │ ├── ex_19 │ │ └── question.md │ │ ├── ex_16 │ │ └── question.md │ │ ├── ex_15 │ │ └── question.md │ │ ├── ex_6 │ │ └── question.md │ │ ├── ex_5 │ │ └── question.md │ │ └── ex_17 │ │ └── question.md │ ├── 4-Beyond-Classical-Search │ └── exercises │ │ ├── ex_17 │ │ └── question.md │ │ ├── ex_11 │ │ └── question.md │ │ └── ex_10 │ │ └── question.md │ ├── 8-First-Order-Logic │ └── exercises │ │ ├── ex_3 │ │ └── question.md │ │ ├── ex_4 │ │ └── question.md │ │ ├── ex_5 │ │ └── question.md │ │ ├── ex_20 │ │ └── question.md │ │ ├── ex_2 │ │ └── question.md │ │ ├── ex_19 │ │ └── question.md │ │ ├── ex_21 │ │ └── question.md │ │ ├── ex_32 │ │ └── question.md │ │ ├── ex_22 │ │ └── question.md │ │ ├── ex_18 │ │ └── question.md │ │ ├── ex_15 │ │ └── question.md │ │ └── ex_35 │ │ └── question.md │ ├── 13-Quantifying-Uncertainity │ └── exercises │ │ ├── ex_1 │ │ └── question.md │ │ ├── ex_2 │ │ └── question.md │ │ ├── ex_15 │ │ └── question.md │ │ └── ex_27 │ │ └── question.md │ ├── 3-Solving-Problems-By-Searching │ └── exercises │ │ ├── ex_1 │ │ └── question.md │ │ ├── ex_37 │ │ └── question.md │ │ ├── ex_13 │ │ └── question.md │ │ ├── ex_29 │ │ └── question.md │ │ ├── ex_22 │ │ └── question.md │ │ ├── ex_12 │ │ └── question.md │ │ └── ex_15 │ │ └── question.md │ ├── 12-Knowledge-Representation │ └── exercises │ │ ├── ex_14 │ │ └── question.md │ │ ├── ex_18 │ │ └── question.md │ │ ├── ex_19 │ │ └── question.md │ │ ├── ex_17 │ │ └── question.md │ │ ├── ex_20 │ │ └── question.md │ │ └── ex_12 │ │ └── question.md │ ├── 18-Learning-From-Examples │ └── exercises │ │ ├── ex_4 │ │ └── question.md │ │ ├── ex_24 │ │ └── question.md │ │ └── ex_3 │ │ └── question.md │ ├── 2-Intelligent-Agent │ └── exercises │ │ ├── ex_9 │ │ └── question.md │ │ ├── ex_3 │ │ └── question.md │ │ └── ex_7 │ │ └── question.md │ ├── 19-Knowledge-In-Learning │ └── exercises │ │ ├── ex_4 │ │ └── question.md │ │ └── ex_1 │ │ └── question.md │ ├── 6-Constraint-Satisfaction-Problems │ └── exercises │ │ ├── ex_13 │ │ └── question.md │ │ ├── ex_18 │ │ └── question.md │ │ ├── ex_17 │ │ └── question.md │ │ └── ex_9 │ │ └── question.md │ ├── 9-Inference-In-First-Order-Logic │ └── exercises │ │ ├── ex_25 │ │ └── question.md │ │ ├── ex_26 │ │ └── question.md │ │ ├── ex_1 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ ├── ex_31 │ │ └── question.md │ │ └── ex_30 │ │ └── question.md │ ├── Future Exercises │ └── README.md │ ├── 21-Reinforcement-Learning │ └── exercises │ │ ├── ex_12 │ │ └── question.md │ │ ├── ex_11 │ │ └── question.md │ │ ├── ex_5 │ │ └── question.md │ │ ├── ex_13 │ │ └── question.md │ │ └── ex_8 │ │ └── question.md │ ├── 26-Philosophical-Foundations │ └── exercises │ │ ├── ex_2 │ │ └── question.md │ │ ├── ex_3 │ │ └── question.md │ │ ├── ex_11 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ ├── ex_6 │ │ └── question.md │ │ ├── ex_4 │ │ └── question.md │ │ ├── ex_8 │ │ └── question.md │ │ └── ex_1 │ │ └── question.md │ ├── 5-Adversarial-Search │ └── exercises │ │ ├── ex_15 │ │ └── question.md │ │ ├── ex_6 │ │ └── question.md │ │ ├── ex_5 │ │ └── question.md │ │ ├── ex_20 │ │ └── question.md │ │ └── ex_1 │ │ └── question.md │ ├── 22-Natural-Language-Processing │ └── exercises │ │ ├── ex_9 │ │ └── question.md │ │ ├── ex_8 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ └── ex_7 │ │ └── question.md │ ├── 7-Logical-Agents │ └── exercises │ │ ├── ex_29 │ │ └── question.md │ │ ├── ex_31 │ │ └── question.md │ │ ├── ex_32 │ │ └── question.md │ │ ├── ex_27 │ │ └── question.md │ │ ├── ex_15 │ │ └── question.md │ │ ├── ex_34 │ │ └── question.md │ │ ├── ex_14 │ │ └── question.md │ │ └── ex_10 │ │ └── question.md │ ├── 16-Making-Simple-Decisions │ └── exercises │ │ ├── ex_12 │ │ └── question.md │ │ ├── ex_19 │ │ └── question.md │ │ └── ex_8 │ │ └── question.md │ ├── 23-Natural-Language-For-Communication │ └── exercises │ │ ├── ex_15 │ │ └── question.md │ │ └── ex_8 │ │ └── question.md │ ├── 11-Planning-And-Acting-In-The-Real-World │ └── exercises │ │ └── ex_12 │ │ └── question.md │ ├── 20-Learning-Probabilistic-Models │ └── exercises │ │ └── ex_2 │ │ └── question.md │ ├── 24-Perception │ └── exercises │ │ └── ex_1 │ │ └── question.md │ └── 25-Robotics │ └── exercises │ └── ex_7 │ └── question.md ├── .jekyll-metadata ├── figures ├── aima.jpg ├── FigArm1.png ├── aima_logo.png ├── DTL-algorithm.png ├── burglary-figure.png ├── family2-figure.png ├── maze-3x3-figure.png ├── ontology-figure.png ├── sr-hmm-figure.png ├── tree-csp-figure.png ├── airport-id-figure.png ├── australia-figure.png ├── de-finetti-table.png ├── line-game4-figure.png ├── bayes-candy-figure.png ├── computer-brain-table.png ├── dentist-joint-table.png ├── illuminationfigure.png ├── jobshop-cpm-figure.png ├── mt-alignment-figure.png ├── vacuum-world-figure.png ├── vacuum2-sets-figure.png ├── wumpus-seq35-figure.png ├── airport-au-id-exercise.png ├── airport-pddl-algorithm.png ├── cryptarithmetic-figure.png ├── enumeration-algorithm.png ├── pl-horn-example-figure.png ├── rain-clustering-figure.png ├── sussman-anamoly-figure.png ├── vacuum-maze-ch4-figure.png ├── geometric-scene-figure.png ├── elimination-ask-algorithm.png ├── logical-equivalence-table.png ├── mixture-networks-figure.png ├── satplan-agent-algorithm.png ├── vacuum-maze-hmm2-figure.png ├── wumpus-entailment-figure.png ├── backward-chaining-algorithm.png ├── battery-persistence-figure.png ├── forward-backward-algorithm.png ├── restaurant-back-prop-figure.png ├── subsumption-lattice-figure.png ├── vacuum-agent-function-table.png ├── and-or-graph-search-algorithm.png ├── hybrid-wumpus-agent-algorithm.png ├── sequential-decision-world-figure.png └── sequential-decision-policies-figure.png ├── public ├── aima_logo.ico ├── fonts │ ├── poppins │ │ ├── Poppins-Bold.ttf │ │ ├── Poppins-Thin.ttf │ │ ├── Poppins-Black.ttf │ │ ├── Poppins-Italic.ttf │ │ ├── Poppins-Light.ttf │ │ ├── Poppins-Medium.ttf │ │ ├── Poppins-ExtraBold.ttf │ │ ├── Poppins-Regular.ttf │ │ ├── Poppins-SemiBold.ttf │ │ ├── Poppins-BlackItalic.ttf │ │ ├── Poppins-BoldItalic.ttf │ │ ├── Poppins-ExtraLight.ttf │ │ ├── Poppins-LightItalic.ttf │ │ ├── Poppins-ThinItalic.ttf │ │ ├── Poppins-MediumItalic.ttf │ │ ├── Poppins-SemiBoldItalic.ttf │ │ ├── Poppins-ExtraBoldItalic.ttf │ │ └── Poppins-ExtraLightItalic.ttf │ ├── font-awesome-4.7.0 │ │ ├── fonts │ │ │ ├── FontAwesome.otf │ │ │ ├── fontawesome-webfont.eot │ │ │ ├── fontawesome-webfont.ttf │ │ │ ├── fontawesome-webfont.woff │ │ │ └── fontawesome-webfont.woff2 │ │ ├── less │ │ │ ├── screen-reader.less │ │ │ └── fixed-width.less │ │ └── scss │ │ │ ├── _fixed-width.scss │ │ │ └── _screen-reader.scss │ └── Linearicons-Free-v1.0.0 │ │ └── WebFont │ │ ├── Linearicons-Free.eot │ │ ├── Linearicons-Free.ttf │ │ ├── Linearicons-Free.woff │ │ └── Linearicons-Free.woff2 └── apple-touch-icon-precomposed.png ├── markdown ├── 17-Making-Complex-Decision │ └── exercises │ │ ├── ex_20 │ │ └── question.md │ │ ├── ex_18 │ │ └── question.md │ │ ├── ex_16 │ │ └── question.md │ │ └── ex_14 │ │ └── question.md ├── 1-Introduction │ └── exercises │ │ ├── ex_14 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_4 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_13 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_8 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_19 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_16 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_15 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_6 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_5 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_17 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_10 │ │ └── index.md │ │ ├── ex_11 │ │ └── index.md │ │ ├── ex_12 │ │ └── index.md │ │ ├── ex_18 │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_20 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ └── ex_9 │ │ └── index.md ├── 10-Classical-Planning │ └── exercises │ │ ├── ex_9 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_2 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_7 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_10 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_5 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_8 │ │ └── index.md │ │ ├── ex_11 │ │ └── index.md │ │ ├── ex_12 │ │ └── index.md │ │ ├── ex_13 │ │ ├── index.md │ │ └── question.md │ │ ├── ex_14 │ │ └── index.md │ │ ├── ex_15 │ │ └── index.md │ │ ├── ex_16 │ │ └── index.md │ │ ├── ex_17 │ │ └── index.md │ │ └── ex_18 │ │ └── index.md ├── 13-Quantifying-Uncertainity │ └── exercises │ │ ├── ex_1 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_2 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_15 │ │ └── question.md │ │ ├── ex_31 │ │ └── index.md │ │ ├── ex_27 │ │ └── question.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_5 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ ├── ex_8 │ │ └── index.md │ │ └── ex_9 │ │ └── index.md ├── 4-Beyond-Classical-Search │ └── exercises │ │ ├── ex_17 │ │ └── question.md │ │ ├── ex_11 │ │ └── question.md │ │ └── ex_10 │ │ └── question.md ├── 8-First-Order-Logic │ └── exercises │ │ ├── ex_3 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_4 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_5 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_20 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_2 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_19 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_21 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_32 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_22 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_18 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ ├── ex_8 │ │ └── index.md │ │ ├── ex_9 │ │ └── index.md │ │ ├── ex_10 │ │ └── index.md │ │ ├── ex_11 │ │ └── index.md │ │ ├── ex_12 │ │ └── index.md │ │ ├── ex_13 │ │ └── index.md │ │ ├── ex_14 │ │ └── index.md │ │ ├── ex_15 │ │ ├── index.md │ │ └── question.md │ │ ├── ex_16 │ │ └── index.md │ │ ├── ex_17 │ │ └── index.md │ │ ├── ex_23 │ │ └── index.md │ │ ├── ex_24 │ │ └── index.md │ │ ├── ex_25 │ │ └── index.md │ │ ├── ex_26 │ │ └── index.md │ │ ├── ex_27 │ │ └── index.md │ │ ├── ex_28 │ │ └── index.md │ │ ├── ex_29 │ │ └── index.md │ │ ├── ex_30 │ │ └── index.md │ │ ├── ex_31 │ │ └── index.md │ │ ├── ex_33 │ │ └── index.md │ │ ├── ex_34 │ │ └── index.md │ │ ├── ex_35 │ │ ├── index.md │ │ └── question.md │ │ └── ex_36 │ │ └── index.md ├── 3-Solving-Problems-By-Searching │ └── exercises │ │ ├── ex_1 │ │ └── question.md │ │ ├── ex_13 │ │ └── question.md │ │ ├── ex_37 │ │ └── question.md │ │ ├── ex_29 │ │ └── question.md │ │ ├── ex_22 │ │ └── question.md │ │ ├── ex_12 │ │ └── question.md │ │ └── ex_15 │ │ ├── index.md │ │ └── question.md ├── 12-Knowledge-Representation │ └── exercises │ │ ├── ex_14 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_18 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_19 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_17 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_20 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_12 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ └── index.md │ │ ├── ex_10 │ │ └── index.md │ │ ├── ex_11 │ │ └── index.md │ │ ├── ex_13 │ │ └── index.md │ │ ├── ex_15 │ │ └── index.md │ │ ├── ex_16 │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_21 │ │ └── index.md │ │ ├── ex_22 │ │ └── index.md │ │ ├── ex_23 │ │ └── index.md │ │ ├── ex_24 │ │ └── index.md │ │ ├── ex_25 │ │ └── index.md │ │ ├── ex_26 │ │ └── index.md │ │ ├── ex_27 │ │ └── index.md │ │ ├── ex_28 │ │ └── index.md │ │ ├── ex_29 │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_30 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_5 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ ├── ex_8 │ │ └── index.md │ │ └── ex_9 │ │ └── index.md ├── 18-Learning-From-Examples │ └── exercises │ │ ├── ex_4 │ │ └── question.md │ │ ├── ex_24 │ │ └── question.md │ │ └── ex_3 │ │ └── question.md ├── 2-Intelligent-Agent │ └── exercises │ │ ├── ex_9 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_3 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_7 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ └── index.md │ │ ├── ex_10 │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_8 │ │ └── index.md │ │ ├── ex_11 │ │ └── index.md │ │ ├── ex_12 │ │ └── index.md │ │ ├── ex_13 │ │ └── index.md │ │ ├── ex_14 │ │ └── index.md │ │ ├── ex_15 │ │ └── index.md │ │ ├── ex_16 │ │ └── index.md │ │ └── ex_5 │ │ └── index.md ├── 19-Knowledge-In-Learning │ └── exercises │ │ ├── ex_4 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_5 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ └── ex_8 │ │ └── index.md ├── 9-Inference-In-First-Order-Logic │ └── exercises │ │ ├── ex_25 │ │ └── question.md │ │ ├── ex_26 │ │ └── question.md │ │ ├── ex_1 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ ├── ex_31 │ │ └── question.md │ │ └── ex_30 │ │ └── question.md ├── 6-Constraint-Satisfaction-Problems │ └── exercises │ │ ├── ex_13 │ │ └── question.md │ │ ├── ex_18 │ │ └── question.md │ │ ├── ex_17 │ │ └── question.md │ │ └── ex_9 │ │ └── question.md ├── Future Exercises │ ├── README.md │ └── index.md ├── 21-Reinforcement-Learning │ └── exercises │ │ ├── ex_12 │ │ └── question.md │ │ ├── ex_11 │ │ └── question.md │ │ ├── ex_5 │ │ └── question.md │ │ ├── ex_13 │ │ └── question.md │ │ └── ex_8 │ │ └── question.md ├── 26-Philosophical-Foundations │ └── exercises │ │ ├── ex_2 │ │ └── question.md │ │ ├── ex_3 │ │ └── question.md │ │ ├── ex_11 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ ├── ex_6 │ │ └── question.md │ │ ├── ex_4 │ │ └── question.md │ │ ├── ex_8 │ │ └── question.md │ │ └── ex_1 │ │ └── question.md ├── 5-Adversarial-Search │ └── exercises │ │ ├── ex_15 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_6 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_5 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_20 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_1 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ ├── ex_8 │ │ └── index.md │ │ ├── ex_9 │ │ └── index.md │ │ ├── ex_10 │ │ └── index.md │ │ ├── ex_11 │ │ └── index.md │ │ ├── ex_12 │ │ └── index.md │ │ ├── ex_13 │ │ └── index.md │ │ ├── ex_14 │ │ └── index.md │ │ ├── ex_16 │ │ └── index.md │ │ ├── ex_17 │ │ └── index.md │ │ ├── ex_18 │ │ └── index.md │ │ ├── ex_19 │ │ └── index.md │ │ ├── ex_21 │ │ └── index.md │ │ ├── ex_22 │ │ └── index.md │ │ ├── ex_23 │ │ └── index.md │ │ ├── ex_24 │ │ └── index.md │ │ └── ex_25 │ │ └── index.md ├── 7-Logical-Agents │ └── exercises │ │ ├── ex_29 │ │ └── question.md │ │ ├── ex_31 │ │ └── question.md │ │ ├── ex_32 │ │ └── question.md │ │ ├── ex_27 │ │ └── question.md │ │ ├── ex_15 │ │ └── question.md │ │ ├── ex_34 │ │ └── question.md │ │ ├── ex_14 │ │ └── question.md │ │ └── ex_10 │ │ └── question.md ├── 22-Natural-Language-Processing │ └── exercises │ │ ├── ex_9 │ │ └── question.md │ │ ├── ex_8 │ │ └── question.md │ │ ├── ex_10 │ │ └── question.md │ │ └── ex_7 │ │ └── question.md ├── 16-Making-Simple-Decisions │ └── exercises │ │ ├── ex_12 │ │ └── question.md │ │ ├── ex_19 │ │ └── question.md │ │ └── ex_8 │ │ └── question.md ├── 23-Natural-Language-For-Communication │ └── exercises │ │ ├── ex_15 │ │ └── question.md │ │ └── ex_8 │ │ └── question.md ├── 25-Robotics │ └── exercises │ │ ├── ex_12 │ │ └── index.md │ │ ├── ex_1 │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_5 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_7 │ │ ├── index.md │ │ └── question.md │ │ ├── ex_8 │ │ └── index.md │ │ ├── ex_9 │ │ └── index.md │ │ ├── ex_10 │ │ └── index.md │ │ └── ex_11 │ │ └── index.md ├── 20-Learning-Probabilistic-Models │ └── exercises │ │ └── ex_2 │ │ └── question.md ├── 11-Planning-And-Acting-In-The-Real-World │ └── exercises │ │ ├── ex_12 │ │ └── question.md │ │ └── ex_4 │ │ └── question.md ├── 24-Perception │ └── exercises │ │ ├── ex_1 │ │ ├── question.md │ │ └── index.md │ │ ├── ex_2 │ │ └── index.md │ │ ├── ex_3 │ │ └── index.md │ │ ├── ex_4 │ │ └── index.md │ │ ├── ex_5 │ │ └── index.md │ │ ├── ex_6 │ │ └── index.md │ │ ├── ex_7 │ │ └── index.md │ │ └── ex_8 │ │ └── index.md ├── answersubmittedd.html └── 14-Probabilistic-Reasoning │ └── exercises │ ├── ex_1 │ └── index.md │ ├── ex_18 │ └── index.md │ ├── ex_2 │ └── index.md │ ├── ex_3 │ └── index.md │ ├── ex_4 │ └── index.md │ ├── ex_5 │ └── index.md │ ├── ex_6 │ └── index.md │ ├── ex_7 │ └── index.md │ └── ex_8 │ └── index.md ├── .gitignore ├── .sass-cache ├── 0bc8662206c600d4a48109ffea2901f2158a1fcd │ ├── fonts.scssc │ ├── rouge-github.scssc │ └── jekyll-theme-minimal.scssc ├── 111b72a4fb1d6fde30ba48583e0aa7196dec121f │ ├── fonts.scssc │ ├── rouge-github.scssc │ └── jekyll-theme-minimal.scssc ├── 43c702f3d8fa96e3b523990c23a149dd68d9feee │ ├── _reset.scssc │ ├── _svg-icons.scssc │ ├── _variables.scssc │ └── _highlights.scssc ├── 648e5d0f313199085d09a3be31da4a3ce1f4b4eb │ ├── _reset.scssc │ ├── _svg-icons.scssc │ ├── _variables.scssc │ └── _highlights.scssc └── 75d47ea92103cdabbfa8f9a6f400d1e4486321c0 │ ├── 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Or neither or both? Explain. 4 | -------------------------------------------------------------------------------- /_site/markdown/4-Beyond-Classical-Search/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Relate the time complexity of LRTA* to its space complexity. 4 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Is the sentence ${\exists\,x,y\;\;} x{{\,=\,}}y$ valid? 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Are 2 | they intelligent? 3 | -------------------------------------------------------------------------------- /_site/markdown/3-Solving-Problems-By-Searching/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain why problem formulation must follow goal formulation. 4 | -------------------------------------------------------------------------------- /_site/public/apple-touch-icon-precomposed.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/apple-touch-icon-precomposed.png -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-Italic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-Italic.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-Medium.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-Medium.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-Regular.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-Regular.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-SemiBold.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-SemiBold.ttf -------------------------------------------------------------------------------- /figures/sequential-decision-policies-figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/figures/sequential-decision-policies-figure.png -------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_14/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write event calculus axioms to describe the actions in the wumpus world. 4 | -------------------------------------------------------------------------------- /markdown/18-Learning-From-Examples/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | We never test the same attribute twice along one path in a decision 2 | tree. Why not? 3 | -------------------------------------------------------------------------------- /markdown/2-Intelligent-Agent/exercises/ex_9/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write pseudocode agent programs for the goal-based and utility-based 4 | agents. 5 | -------------------------------------------------------------------------------- /public/fonts/poppins/Poppins-MediumItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/poppins/Poppins-MediumItalic.ttf -------------------------------------------------------------------------------- /public/fonts/poppins/Poppins-SemiBoldItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/poppins/Poppins-SemiBoldItalic.ttf -------------------------------------------------------------------------------- /_site/markdown/12-Knowledge-Representation/exercises/ex_14/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write event calculus axioms to describe the actions in the wumpus world. 4 | -------------------------------------------------------------------------------- /_site/markdown/18-Learning-From-Examples/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | We never test the same attribute twice along one path in a decision 2 | tree. Why not? 3 | -------------------------------------------------------------------------------- /_site/markdown/2-Intelligent-Agent/exercises/ex_9/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write pseudocode agent programs for the goal-based and utility-based 4 | agents. 5 | -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-BoldItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-BoldItalic.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-ExtraBold.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-ExtraBold.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-ExtraLight.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-ExtraLight.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-ThinItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-ThinItalic.ttf -------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe the differences and similarities between problem solving and 4 | planning. 5 | -------------------------------------------------------------------------------- /public/fonts/poppins/Poppins-ExtraBoldItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/poppins/Poppins-ExtraBoldItalic.ttf -------------------------------------------------------------------------------- /public/fonts/poppins/Poppins-ExtraLightItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/poppins/Poppins-ExtraLightItalic.ttf -------------------------------------------------------------------------------- /_site/figures/sequential-decision-world-figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/figures/sequential-decision-world-figure.png -------------------------------------------------------------------------------- /_site/markdown/10-Classical-Planning/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe the differences and similarities between problem solving and 4 | planning. 5 | -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-BlackItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-BlackItalic.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-LightItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-LightItalic.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-MediumItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-MediumItalic.ttf -------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Would a probabilistic version of determinations be useful? Suggest a 4 | definition. 5 | -------------------------------------------------------------------------------- /markdown/9-Inference-In-First-Order-Logic/exercises/ex_25/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How can resolution be used to show that a sentence is valid? 4 | Unsatisfiable? 5 | -------------------------------------------------------------------------------- /_site/figures/sequential-decision-policies-figure.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/figures/sequential-decision-policies-figure.png -------------------------------------------------------------------------------- /_site/markdown/19-Knowledge-In-Learning/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Would a probabilistic version of determinations be useful? Suggest a 4 | definition. 5 | -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-ExtraBoldItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-ExtraBoldItalic.ttf -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-SemiBoldItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-SemiBoldItalic.ttf -------------------------------------------------------------------------------- /markdown/17-Making-Complex-Decision/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Show that a dominant strategy 4 | equilibrium is a Nash equilibrium, but not vice versa. 5 | -------------------------------------------------------------------------------- /markdown/6-Constraint-Satisfaction-Problems/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | What is the worst-case complexity of running AC-3 on a tree-structured 4 | CSP? 5 | -------------------------------------------------------------------------------- /markdown/Future Exercises/README.md: -------------------------------------------------------------------------------- 1 | # Future Exercises 2 | 3 | | **Exercise #** | **Status** | **Markdown** | 4 | |:------------|:-----------|:-----------------| 5 | -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/fonts/FontAwesome.otf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/font-awesome-4.7.0/fonts/FontAwesome.otf -------------------------------------------------------------------------------- /_site/markdown/17-Making-Complex-Decision/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Show that a dominant strategy 4 | equilibrium is a Nash equilibrium, but not vice versa. 5 | -------------------------------------------------------------------------------- /_site/markdown/6-Constraint-Satisfaction-Problems/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | What is the worst-case complexity of running AC-3 on a tree-structured 4 | CSP? 5 | -------------------------------------------------------------------------------- /_site/markdown/9-Inference-In-First-Order-Logic/exercises/ex_25/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How can resolution be used to show that a sentence is valid? 4 | Unsatisfiable? 5 | -------------------------------------------------------------------------------- /_site/markdown/Future Exercises/README.md: -------------------------------------------------------------------------------- 1 | # Future Exercises 2 | 3 | | **Exercise #** | **Status** | **Markdown** | 4 | |:------------|:-----------|:-----------------| 5 | -------------------------------------------------------------------------------- /_site/public/fonts/poppins/Poppins-ExtraLightItalic.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/poppins/Poppins-ExtraLightItalic.ttf -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/fonts/FontAwesome.otf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/font-awesome-4.7.0/fonts/FontAwesome.otf -------------------------------------------------------------------------------- /markdown/17-Making-Complex-Decision/exercises/ex_16/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | What is the time complexity of $d$ steps of POMDP value iteration for a 4 | sensorless environment? 5 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write down a logical sentence such that every world in which it is true 4 | contains exactly one object. 5 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write down a logical sentence such that every world in which it is true 4 | contains exactly two objects. 5 | -------------------------------------------------------------------------------- /_site/markdown/17-Making-Complex-Decision/exercises/ex_16/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | What is the time complexity of $d$ steps of POMDP value iteration for a 4 | sensorless environment? 5 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write down a logical sentence such that every world in which it is true 4 | contains exactly one object. 5 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write down a logical sentence such that every world in which it is true 4 | contains exactly two objects. 5 | -------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Construct a representation for exchange rates 4 | between currencies that allows for daily fluctuations. 5 | -------------------------------------------------------------------------------- /markdown/2-Intelligent-Agent/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write an essay on the relationship between evolution and one or more of 4 | autonomy, intelligence, and learning. 5 | -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.eot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.eot -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.ttf -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff -------------------------------------------------------------------------------- /.sass-cache/0bc8662206c600d4a48109ffea2901f2158a1fcd/fonts.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/0bc8662206c600d4a48109ffea2901f2158a1fcd/fonts.scssc -------------------------------------------------------------------------------- /.sass-cache/111b72a4fb1d6fde30ba48583e0aa7196dec121f/fonts.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/111b72a4fb1d6fde30ba48583e0aa7196dec121f/fonts.scssc -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Why would evolution tend to result in systems that act rationally? What 4 | goals are such systems designed to achieve? 5 | -------------------------------------------------------------------------------- /markdown/21-Reinforcement-Learning/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Investigate the application of reinforcement learning ideas to the 4 | modeling of human and animal behavior. 5 | -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff2: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff2 -------------------------------------------------------------------------------- /.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_reset.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_reset.scssc -------------------------------------------------------------------------------- /.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_reset.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_reset.scssc -------------------------------------------------------------------------------- /.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_reset.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_reset.scssc -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Why would evolution tend to result in systems that act rationally? What 4 | goals are such systems designed to achieve? 5 | -------------------------------------------------------------------------------- /_site/markdown/12-Knowledge-Representation/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Construct a representation for exchange rates 4 | between currencies that allows for daily fluctuations. 5 | -------------------------------------------------------------------------------- /_site/markdown/2-Intelligent-Agent/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write an essay on the relationship between evolution and one or more of 4 | autonomy, intelligence, and learning. 5 | -------------------------------------------------------------------------------- /_site/markdown/21-Reinforcement-Learning/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Investigate the application of reinforcement learning ideas to the 4 | modeling of human and animal behavior. 5 | -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.eot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.eot -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.ttf -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words: (a) intelligence, (b) artificial intelligence, 4 | (c) agent, (d) rationality, (e) logical reasoning. 5 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How could introspection—reporting on one’s inner thoughts—be inaccurate? 4 | Could I be wrong about what I’m thinking? Discuss. 5 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | Find and analyze an account in the popular media of one or more of the 2 | arguments to the effect that AI is impossible. 3 | -------------------------------------------------------------------------------- /public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.eot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.eot -------------------------------------------------------------------------------- /public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.ttf -------------------------------------------------------------------------------- /public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff -------------------------------------------------------------------------------- /public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff2: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff2 -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/less/screen-reader.less: -------------------------------------------------------------------------------- 1 | // Screen Readers 2 | // ------------------------- 3 | 4 | .sr-only { .sr-only(); } 5 | .sr-only-focusable { .sr-only-focusable(); } 6 | -------------------------------------------------------------------------------- /.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_svg-icons.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_svg-icons.scssc -------------------------------------------------------------------------------- /.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_variables.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_variables.scssc -------------------------------------------------------------------------------- /.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_svg-icons.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_svg-icons.scssc -------------------------------------------------------------------------------- /.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_variables.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_variables.scssc -------------------------------------------------------------------------------- /.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_svg-icons.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_svg-icons.scssc -------------------------------------------------------------------------------- /.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_variables.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_variables.scssc -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words: (a) intelligence, (b) artificial intelligence, 4 | (c) agent, (d) rationality, (e) logical reasoning. 5 | -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How could introspection—reporting on one’s inner thoughts—be inaccurate? 4 | Could I be wrong about what I’m thinking? Discuss. 5 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | Find and analyze an account in the popular media of one or more of the 2 | arguments to the effect that AI is impossible. 3 | -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff2: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/font-awesome-4.7.0/fonts/fontawesome-webfont.woff2 -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | For the currently infeasible tasks, try to find out what the 4 | difficulties are and predict when, if ever, they will be overcome. 5 | -------------------------------------------------------------------------------- /markdown/Future Exercises/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: chapter 3 | title: Main 4 | permalink: #/ 5 | --- 6 | 7 | {% include mathjax_support %} 8 | 9 | # 27. AI: The Present and Future 10 | -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/less/fixed-width.less: -------------------------------------------------------------------------------- 1 | // Fixed Width Icons 2 | // ------------------------- 3 | .@{fa-css-prefix}-fw { 4 | width: (18em / 14); 5 | text-align: center; 6 | } 7 | -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/scss/_fixed-width.scss: -------------------------------------------------------------------------------- 1 | // Fixed Width Icons 2 | // ------------------------- 3 | .#{$fa-css-prefix}-fw { 4 | width: (18em / 14); 5 | text-align: center; 6 | } 7 | -------------------------------------------------------------------------------- /.sass-cache/0bc8662206c600d4a48109ffea2901f2158a1fcd/rouge-github.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/0bc8662206c600d4a48109ffea2901f2158a1fcd/rouge-github.scssc -------------------------------------------------------------------------------- /.sass-cache/111b72a4fb1d6fde30ba48583e0aa7196dec121f/rouge-github.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/111b72a4fb1d6fde30ba48583e0aa7196dec121f/rouge-github.scssc -------------------------------------------------------------------------------- /.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_highlights.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/43c702f3d8fa96e3b523990c23a149dd68d9feee/_highlights.scssc -------------------------------------------------------------------------------- /.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_highlights.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/648e5d0f313199085d09a3be31da4a3ce1f4b4eb/_highlights.scssc -------------------------------------------------------------------------------- /.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_highlights.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/75d47ea92103cdabbfa8f9a6f400d1e4486321c0/_highlights.scssc -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | For the currently infeasible tasks, try to find out what the 4 | difficulties are and predict when, if ever, they will be overcome. 5 | -------------------------------------------------------------------------------- /_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.eot: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.eot -------------------------------------------------------------------------------- /_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.ttf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.ttf -------------------------------------------------------------------------------- /_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/less/fixed-width.less: -------------------------------------------------------------------------------- 1 | // Fixed Width Icons 2 | // ------------------------- 3 | .@{fa-css-prefix}-fw { 4 | width: (18em / 14); 5 | text-align: center; 6 | } 7 | -------------------------------------------------------------------------------- /_site/public/fonts/font-awesome-4.7.0/less/screen-reader.less: -------------------------------------------------------------------------------- 1 | // Screen Readers 2 | // ------------------------- 3 | 4 | .sr-only { .sr-only(); } 5 | .sr-only-focusable { .sr-only-focusable(); } 6 | -------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Using the axioms of probability, prove that any 4 | probability distribution on a discrete random variable must sum to 1. 5 | -------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | What’s the difference between a world state, a state description, and a 4 | search node? Why is this distinction useful? 5 | -------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_37/question.md: -------------------------------------------------------------------------------- 1 | Prove that if a heuristic is 2 | consistent, it must be admissible. Construct an admissible heuristic 3 | that is not consistent. 4 | -------------------------------------------------------------------------------- /_site/markdown/13-Quantifying-Uncertainity/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Using the axioms of probability, prove that any 4 | probability distribution on a discrete random variable must sum to 1. 5 | -------------------------------------------------------------------------------- /_site/markdown/3-Solving-Problems-By-Searching/exercises/ex_37/question.md: -------------------------------------------------------------------------------- 1 | Prove that if a heuristic is 2 | consistent, it must be admissible. Construct an admissible heuristic 3 | that is not consistent. 4 | -------------------------------------------------------------------------------- /_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff2: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/_site/public/fonts/Linearicons-Free-v1.0.0/WebFont/Linearicons-Free.woff2 -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_16/question.md: -------------------------------------------------------------------------------- 1 | 2 | “Surely animals cannot be intelligent—they can do only what their genes 3 | tell them.” Is the latter statement true, and does it imply the former? 4 | -------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define the predicate ${Fixed}$, where 4 | ${Fixed}({Location}(x))$ means that the location of object $x$ is 5 | fixed over time. 6 | -------------------------------------------------------------------------------- /markdown/9-Inference-In-First-Order-Logic/exercises/ex_26/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Construct an example of two clauses that can be resolved together in two 4 | different ways giving two different outcomes. 5 | -------------------------------------------------------------------------------- /_site/markdown/12-Knowledge-Representation/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define the predicate ${Fixed}$, where 4 | ${Fixed}({Location}(x))$ means that the location of object $x$ is 5 | fixed over time. 6 | -------------------------------------------------------------------------------- /_site/markdown/3-Solving-Problems-By-Searching/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | What’s the difference between a world state, a state description, and a 4 | search node? Why is this distinction useful? 5 | -------------------------------------------------------------------------------- /_site/markdown/9-Inference-In-First-Order-Logic/exercises/ex_26/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Construct an example of two clauses that can be resolved together in two 4 | different ways giving two different outcomes. 5 | -------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that the alpha–beta algorithm takes time $O(b^{m/2})$ with optimal 4 | move ordering, where $m$ is the maximum depth of the game tree. 5 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_29/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How long does it take to prove 4 | ${KB}{\models}\alpha$ using {DPLL} when $\alpha$ is a literal already 5 | contained in ${KB}$? Explain. 6 | -------------------------------------------------------------------------------- /public/fonts/font-awesome-4.7.0/scss/_screen-reader.scss: -------------------------------------------------------------------------------- 1 | // Screen Readers 2 | // ------------------------- 3 | 4 | .sr-only { @include sr-only(); } 5 | .sr-only-focusable { @include sr-only-focusable(); } 6 | -------------------------------------------------------------------------------- /.sass-cache/0bc8662206c600d4a48109ffea2901f2158a1fcd/jekyll-theme-minimal.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/0bc8662206c600d4a48109ffea2901f2158a1fcd/jekyll-theme-minimal.scssc -------------------------------------------------------------------------------- /.sass-cache/111b72a4fb1d6fde30ba48583e0aa7196dec121f/jekyll-theme-minimal.scssc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/aimacode/aima-exercises/HEAD/.sass-cache/111b72a4fb1d6fde30ba48583e0aa7196dec121f/jekyll-theme-minimal.scssc -------------------------------------------------------------------------------- /_layouts/page.html: -------------------------------------------------------------------------------- 1 | --- 2 | layout: default2 3 | --- 4 | 5 |
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13 | -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_16/question.md: -------------------------------------------------------------------------------- 1 | 2 | “Surely animals cannot be intelligent—they can do only what their genes 3 | tell them.” Is the latter statement true, and does it imply the former? 4 | -------------------------------------------------------------------------------- /_site/markdown/5-Adversarial-Search/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that the alpha–beta algorithm takes time $O(b^{m/2})$ with optimal 4 | move ordering, where $m$ is the maximum depth of the game tree. 5 | -------------------------------------------------------------------------------- /markdown/18-Learning-From-Examples/exercises/ex_24/question.md: -------------------------------------------------------------------------------- 1 | 2 | Construct by hand a neural network that computes the xor 3 | function of two inputs. Make sure to specify what sort of units you are 4 | using. 5 | -------------------------------------------------------------------------------- /markdown/22-Natural-Language-Processing/exercises/ex_9/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Estimate how much storage space is necessary for the index to a 100 4 | billion-page corpus of Web pages. Show the assumptions you made. 5 | -------------------------------------------------------------------------------- /markdown/6-Constraint-Satisfaction-Problems/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the terms constraint, commutativity, arc 4 | consistency, backjumping, min-conflicts, and cycle cutset. 5 | -------------------------------------------------------------------------------- /markdown/9-Inference-In-First-Order-Logic/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that Universal Instantiation is sound and that Existential 4 | Instantiation produces an inferentially equivalent knowledge base. 5 | -------------------------------------------------------------------------------- /_site/markdown/18-Learning-From-Examples/exercises/ex_24/question.md: -------------------------------------------------------------------------------- 1 | 2 | Construct by hand a neural network that computes the xor 3 | function of two inputs. Make sure to specify what sort of units you are 4 | using. 5 | -------------------------------------------------------------------------------- /_site/markdown/22-Natural-Language-Processing/exercises/ex_9/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Estimate how much storage space is necessary for the index to a 100 4 | billion-page corpus of Web pages. Show the assumptions you made. 5 | -------------------------------------------------------------------------------- /_site/markdown/6-Constraint-Satisfaction-Problems/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the terms constraint, commutativity, arc 4 | consistency, backjumping, min-conflicts, and cycle cutset. 5 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_29/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How long does it take to prove 4 | ${KB}{\models}\alpha$ using {DPLL} when $\alpha$ is a literal already 5 | contained in ${KB}$? Explain. 6 | -------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Show that the three forms of independence in 4 | Equation (independence-equation) are equivalent. 5 | -------------------------------------------------------------------------------- /markdown/18-Learning-From-Examples/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Draw a decision tree for the problem of deciding whether to move forward 4 | at a road intersection, given that the light has just turned green. 5 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | Attempt to write definitions of the terms “intelligence,” “thinking,” 2 | and “consciousness.” Suggest some possible objections to your 3 | definitions. 4 | -------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_29/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Devise a state space in which A using returns a 4 | suboptimal solution with an $h(n)$ function that is admissible but 5 | inconsistent. 6 | -------------------------------------------------------------------------------- /markdown/6-Constraint-Satisfaction-Problems/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the terms constraint, backtracking search, arc 4 | consistency, backjumping, min-conflicts, and cycle cutset. 5 | -------------------------------------------------------------------------------- /_site/markdown/13-Quantifying-Uncertainity/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Show that the three forms of independence in 4 | Equation (independence-equation) are equivalent. 5 | -------------------------------------------------------------------------------- /_site/markdown/18-Learning-From-Examples/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Draw a decision tree for the problem of deciding whether to move forward 4 | at a road intersection, given that the light has just turned green. 5 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_3/question.md: -------------------------------------------------------------------------------- 1 | Attempt to write definitions of the terms “intelligence,” “thinking,” 2 | and “consciousness.” Suggest some possible objections to your 3 | definitions. 4 | -------------------------------------------------------------------------------- /_site/markdown/3-Solving-Problems-By-Searching/exercises/ex_29/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Devise a state space in which A using returns a 4 | suboptimal solution with an $h(n)$ function that is admissible but 5 | inconsistent. 6 | -------------------------------------------------------------------------------- /_site/markdown/6-Constraint-Satisfaction-Problems/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the terms constraint, backtracking search, arc 4 | consistency, backjumping, min-conflicts, and cycle cutset. 5 | -------------------------------------------------------------------------------- /_site/markdown/9-Inference-In-First-Order-Logic/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that Universal Instantiation is sound and that Existential 4 | Instantiation produces an inferentially equivalent knowledge base. 5 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | “Surely computers cannot be intelligent—they can do only what their 4 | programmers tell them.” Is the latter statement true, and does it imply 5 | the former? 6 | -------------------------------------------------------------------------------- /markdown/22-Natural-Language-Processing/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Try to ascertain which of the search engines from the previous exercise 4 | are using case folding, stemming, synonyms, and spelling correction. 5 | -------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_22/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe a state space in which iterative deepening search performs much 4 | worse than depth-first search (for example, $O(n^{2})$ vs. $O(n)$). 5 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_31/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a successor-state axiom for the ${Locked}$ predicate, which 4 | applies to doors, assuming the only actions available are ${Lock}$ and 5 | ${Unlock}$. 6 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_32/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Discuss what is meant by optimal behavior in the wumpus 4 | world. Show that the {Hybrid-Wumpus-Agent} is not optimal, and suggest ways to improve it. 5 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_20/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Using the set axioms as examples, write 4 | axioms for the list domain, including all the constants, functions, and 5 | predicates mentioned in the chapter. 6 | -------------------------------------------------------------------------------- /_layouts/post.html: -------------------------------------------------------------------------------- 1 | --- 2 | layout: homepage 3 | --- 4 | 5 |
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12 | -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | “Surely computers cannot be intelligent—they can do only what their 4 | programmers tell them.” Is the latter statement true, and does it imply 5 | the former? 6 | -------------------------------------------------------------------------------- /_site/markdown/22-Natural-Language-Processing/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Try to ascertain which of the search engines from the previous exercise 4 | are using case folding, stemming, synonyms, and spelling correction. 5 | -------------------------------------------------------------------------------- /_site/markdown/3-Solving-Problems-By-Searching/exercises/ex_22/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe a state space in which iterative deepening search performs much 4 | worse than depth-first search (for example, $O(n^{2})$ vs. $O(n)$). 5 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_31/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a successor-state axiom for the ${Locked}$ predicate, which 4 | applies to doors, assuming the only actions available are ${Lock}$ and 5 | ${Unlock}$. 6 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_32/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Discuss what is meant by optimal behavior in the wumpus 4 | world. Show that the {Hybrid-Wumpus-Agent} is not optimal, and suggest ways to improve it. 5 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_20/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Using the set axioms as examples, write 4 | axioms for the list domain, including all the constants, functions, and 5 | predicates mentioned in the chapter. 6 | -------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Investigate ways to extend the event calculus to handle 4 | simultaneous events. Is it possible to avoid a 5 | combinatorial explosion of axioms? 6 | -------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the following terms: state, state space, search 4 | tree, search node, goal, action, transition model, and branching factor. 5 | -------------------------------------------------------------------------------- /markdown/9-Inference-In-First-Order-Logic/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain how to write any given 3-SAT problem of 4 | arbitrary size using a single first-order definite clause and no more 5 | than 30 ground facts. 6 | -------------------------------------------------------------------------------- /markdown/9-Inference-In-First-Order-Logic/exercises/ex_31/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | We said in this chapter that resolution cannot be used to generate all 4 | logical consequences of a set of sentences. Can any algorithm do this? 5 | -------------------------------------------------------------------------------- /_site/markdown/12-Knowledge-Representation/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Investigate ways to extend the event calculus to handle 4 | simultaneous events. Is it possible to avoid a 5 | combinatorial explosion of axioms? 6 | -------------------------------------------------------------------------------- /_site/markdown/3-Solving-Problems-By-Searching/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the following terms: state, state space, search 4 | tree, search node, goal, action, transition model, and branching factor. 5 | -------------------------------------------------------------------------------- /_site/markdown/9-Inference-In-First-Order-Logic/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain how to write any given 3-SAT problem of 4 | arbitrary size using a single first-order definite clause and no more 5 | than 30 ground facts. 6 | -------------------------------------------------------------------------------- /_site/markdown/9-Inference-In-First-Order-Logic/exercises/ex_31/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | We said in this chapter that resolution cannot be used to generate all 4 | logical consequences of a set of sentences. Can any algorithm do this? 5 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_6/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Suppose we extend Evans’s SYSTEM program so that it can score 200 on a standard 4 | IQ test. Would we then have a program more intelligent than a human? 5 | Explain. 6 | -------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_20/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe the event of trading something for something else. Describe 4 | buying as a kind of trading in which one of the objects traded is a sum 5 | of money. 6 | -------------------------------------------------------------------------------- /markdown/16-Making-Simple-Decisions/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | How much is a micromort worth to you? Devise a protocol to determine 3 | this. Ask questions based both on paying to avoid risk and being paid to 4 | accept risk. 5 | -------------------------------------------------------------------------------- /markdown/21-Reinforcement-Learning/exercises/ex_11/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Implement the REINFORCE and PEGASUS algorithms and apply them to the $4\times 3$ world, 4 | using a policy family of your own choosing. Comment on the results. 5 | -------------------------------------------------------------------------------- /markdown/6-Constraint-Satisfaction-Problems/exercises/ex_9/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain why it is a good heuristic to choose the variable that is 4 | *most* constrained but the value that is 5 | *least* constraining in a CSP search. 6 | -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_6/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Suppose we extend Evans’s SYSTEM program so that it can score 200 on a standard 4 | IQ test. Would we then have a program more intelligent than a human? 5 | Explain. 6 | -------------------------------------------------------------------------------- /_site/markdown/12-Knowledge-Representation/exercises/ex_20/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe the event of trading something for something else. Describe 4 | buying as a kind of trading in which one of the objects traded is a sum 5 | of money. 6 | -------------------------------------------------------------------------------- /_site/markdown/16-Making-Simple-Decisions/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | How much is a micromort worth to you? Devise a protocol to determine 3 | this. Ask questions based both on paying to avoid risk and being paid to 4 | accept risk. 5 | -------------------------------------------------------------------------------- /_site/markdown/21-Reinforcement-Learning/exercises/ex_11/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Implement the REINFORCE and PEGASUS algorithms and apply them to the $4\times 3$ world, 4 | using a policy family of your own choosing. Comment on the results. 5 | -------------------------------------------------------------------------------- /_site/markdown/6-Constraint-Satisfaction-Problems/exercises/ex_9/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain why it is a good heuristic to choose the variable that is 4 | *most* constrained but the value that is 5 | *least* constraining in a CSP search. 6 | -------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain why dropping negative effects from 4 | every action schema results in a relaxed problem, provided that 5 | preconditions and goals contain only positive literals. 6 | -------------------------------------------------------------------------------- /markdown/21-Reinforcement-Learning/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write out the parameter update equations for TD learning with 4 | $$\hat{U}(x,y) = \theta_0 + \theta_1 x + \theta_2 y + \theta_3\,\sqrt{(x-x_g)^2 + (y-y_g)^2}\ .$$ 5 | -------------------------------------------------------------------------------- /markdown/22-Natural-Language-Processing/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a regular expression or a short program to extract company names. 4 | Test it on a corpus of business news articles. Report your recall and 5 | precision. 6 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_11/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How do the potential threats from AI technology compare with those from 4 | other computer science technologies, and to bio-, nano-, and nuclear 5 | technologies? 6 | -------------------------------------------------------------------------------- /_site/markdown/10-Classical-Planning/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain why dropping negative effects from 4 | every action schema results in a relaxed problem, provided that 5 | preconditions and goals contain only positive literals. 6 | -------------------------------------------------------------------------------- /_site/markdown/21-Reinforcement-Learning/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write out the parameter update equations for TD learning with 4 | $$\hat{U}(x,y) = \theta_0 + \theta_1 x + \theta_2 y + \theta_3\,\sqrt{(x-x_g)^2 + (y-y_g)^2}\ .$$ 5 | -------------------------------------------------------------------------------- /_site/markdown/22-Natural-Language-Processing/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a regular expression or a short program to extract company names. 4 | Test it on a corpus of business news articles. Report your recall and 5 | precision. 6 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_11/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How do the potential threats from AI technology compare with those from 4 | other computer science technologies, and to bio-, nano-, and nuclear 5 | technologies? 6 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | There are well-known classes of problems that are intractably difficult 4 | for computers, and other classes that are provably undecidable. Does 5 | this mean that AI is impossible? 6 | -------------------------------------------------------------------------------- /markdown/21-Reinforcement-Learning/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Is reinforcement learning an appropriate abstract model for evolution? 4 | What connection exists, if any, between hardwired reward signals and 5 | evolutionary fitness? 6 | -------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_6/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Discuss how well the standard approach to game playing would apply to 4 | games such as tennis, pool, and croquet, which take place in a 5 | continuous physical state space. 6 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Consider a knowledge base containing just two sentences: $P(a)$ and 4 | $P(b)$. Does this knowledge base entail $\forall\,x\ P(x)$? Explain your 5 | answer in terms of models. 6 | -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | There are well-known classes of problems that are intractably difficult 4 | for computers, and other classes that are provably undecidable. Does 5 | this mean that AI is impossible? 6 | -------------------------------------------------------------------------------- /_site/markdown/21-Reinforcement-Learning/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Is reinforcement learning an appropriate abstract model for evolution? 4 | What connection exists, if any, between hardwired reward signals and 5 | evolutionary fitness? 6 | -------------------------------------------------------------------------------- /_site/markdown/5-Adversarial-Search/exercises/ex_6/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Discuss how well the standard approach to game playing would apply to 4 | games such as tennis, pool, and croquet, which take place in a 5 | continuous physical state space. 6 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Consider a knowledge base containing just two sentences: $P(a)$ and 4 | $P(b)$. Does this knowledge base entail $\forall\,x\ P(x)$? Explain your 5 | answer in terms of models. 6 | -------------------------------------------------------------------------------- /markdown/16-Making-Simple-Decisions/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Modify and extend the Bayesian network code in the code repository to 4 | provide for creation and evaluation of decision networks and the 5 | calculation of information value. 6 | -------------------------------------------------------------------------------- /markdown/16-Making-Simple-Decisions/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that the judgments $B \succ A$ and $C \succ D$ in the Allais 4 | paradox (page allais-page) violate the axiom of substitutability. 5 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Analyze the potential threats from AI technology to society. What 4 | threats are most serious, and how might they be combated? How do they 5 | compare to the potential benefits? 6 | -------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe and implement a real-time, 4 | multiplayer game-playing environment, where time is part 5 | of the environment state and players are given fixed time allocations. 6 | -------------------------------------------------------------------------------- /_site/markdown/16-Making-Simple-Decisions/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Modify and extend the Bayesian network code in the code repository to 4 | provide for creation and evaluation of decision networks and the 5 | calculation of information value. 6 | -------------------------------------------------------------------------------- /_site/markdown/16-Making-Simple-Decisions/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that the judgments $B \succ A$ and $C \succ D$ in the Allais 4 | paradox (page allais-page) violate the axiom of substitutability. 5 | -------------------------------------------------------------------------------- /_site/markdown/5-Adversarial-Search/exercises/ex_5/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Describe and implement a real-time, 4 | multiplayer game-playing environment, where time is part 5 | of the environment state and players are given fixed time allocations. 6 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Analyze the potential threats from AI technology to society. What 4 | threats are most serious, and how might they be combated? How do they 5 | compare to the potential benefits? 6 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_27/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Is a randomly generated 4-CNF sentence with $n$ symbols and $m$ clauses 4 | more or less likely to be solvable than a randomly generated 3-CNF 5 | sentence with $n$ symbols and $m$ clauses? Explain. 6 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | Explain what is wrong with the following proposed definition of the set 2 | membership predicate
3 | $$ {\forall,x,s;;} x \in {x|s} $$ $$ {\forall,x,s;;} x \in s \implies {\forall,y;;} x \in {y|s} $$ 4 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_21/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain what is wrong with the following proposed 4 | definition of adjacent squares in the wumpus world: 5 | $${\forall\,x,y\;\;} {Adjacent}([x,y], [x+1, y]) \land {Adjacent}([x,y], [x, y+1])\ .$$ 6 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_27/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Is a randomly generated 4-CNF sentence with $n$ symbols and $m$ clauses 4 | more or less likely to be solvable than a randomly generated 3-CNF 5 | sentence with $n$ symbols and $m$ clauses? Explain. 6 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_19/question.md: -------------------------------------------------------------------------------- 1 | Explain what is wrong with the following proposed definition of the set 2 | membership predicate
3 | $$ {\forall,x,s;;} x \in {x|s} $$ $$ {\forall,x,s;;} x \in s \implies {\forall,y;;} x \in {y|s} $$ 4 | -------------------------------------------------------------------------------- /markdown/2-Intelligent-Agent/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the following terms: agent, agent function, 4 | agent program, rationality, autonomy, reflex agent, model-based agent, 5 | goal-based agent, utility-based agent, learning agent. 6 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Use resolution to prove the sentence $\lnot A \land \lnot B$ from the 4 | clauses in Exercise convert-clausal-exercise. 5 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_32/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a general set of facts and axioms to represent the assertion 4 | “Wellington heard about Napoleon’s death” and to correctly answer the 5 | question “Did Napoleon hear about Wellington’s death?” 6 | -------------------------------------------------------------------------------- /_site/markdown/2-Intelligent-Agent/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Define in your own words the following terms: agent, agent function, 4 | agent program, rationality, autonomy, reflex agent, model-based agent, 5 | goal-based agent, utility-based agent, learning agent. 6 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_21/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Explain what is wrong with the following proposed 4 | definition of adjacent squares in the wumpus world: 5 | $${\forall\,x,y\;\;} {Adjacent}([x,y], [x+1, y]) \land {Adjacent}([x,y], [x, y+1])\ .$$ 6 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_32/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a general set of facts and axioms to represent the assertion 4 | “Wellington heard about Napoleon’s death” and to correctly answer the 5 | question “Did Napoleon hear about Wellington’s death?” 6 | -------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Show, by translating into conjunctive normal form and 4 | applying resolution, that the conclusion drawn on page dbsig-page 5 | concerning Brazilians is sound. 6 | -------------------------------------------------------------------------------- /markdown/4-Beyond-Classical-Search/exercises/ex_11/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Consider the sensorless version of the 4 | erratic vacuum world. Draw the belief-state space reachable from the 5 | initial belief state $\{ 1,3,5,7 \}$, and explain why the problem 6 | is unsolvable. 7 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_34/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Section successor-state-section 4 | provides some of the successor-state axioms required for the wumpus 5 | world. Write down axioms for all remaining fluent symbols. 6 | -------------------------------------------------------------------------------- /_site/markdown/19-Knowledge-In-Learning/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Show, by translating into conjunctive normal form and 4 | applying resolution, that the conclusion drawn on page dbsig-page 5 | concerning Brazilians is sound. 6 | -------------------------------------------------------------------------------- /_site/markdown/4-Beyond-Classical-Search/exercises/ex_11/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Consider the sensorless version of the 4 | erratic vacuum world. Draw the belief-state space reachable from the 5 | initial belief state $\{ 1,3,5,7 \}$, and explain why the problem 6 | is unsolvable. 7 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Use resolution to prove the sentence $\lnot A \land \lnot B$ from the 4 | clauses in Exercise convert-clausal-exercise. 5 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | “Surely animals, humans, and computers cannot be intelligent—they can do 4 | only what their constituent atoms are told to do by the laws of 5 | physics.” Is the latter statement true, and does it imply the former? 6 | -------------------------------------------------------------------------------- /markdown/22-Natural-Language-Processing/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Create a test set of ten queries, and pose them to three major Web 4 | search engines. Evaluate each one for precision at 1, 3, and 10 5 | documents. Can you explain the differences between engines? 6 | -------------------------------------------------------------------------------- /markdown/4-Beyond-Classical-Search/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Consider the sensorless version of the 4 | erratic vacuum world. Draw the belief-state space reachable from the 5 | initial belief state $\{1,2,3,4,5,6,7,8\}$, and explain why the 6 | problem is unsolvable. 7 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_22/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write out the axioms required for reasoning about the wumpus’s location, 4 | using a constant symbol ${Wumpus}$ and a binary predicate 5 | ${At}({Wumpus}, {Location})$. Remember that there is only one 6 | wumpus. 7 | -------------------------------------------------------------------------------- /_site/markdown/1-Introduction/exercises/ex_17/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | “Surely animals, humans, and computers cannot be intelligent—they can do 4 | only what their constituent atoms are told to do by the laws of 5 | physics.” Is the latter statement true, and does it imply the former? 6 | -------------------------------------------------------------------------------- /_site/markdown/22-Natural-Language-Processing/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Create a test set of ten queries, and pose them to three major Web 4 | search engines. Evaluate each one for precision at 1, 3, and 10 5 | documents. Can you explain the differences between engines? 6 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_34/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Section successor-state-section 4 | provides some of the successor-state axioms required for the wumpus 5 | world. Write down axioms for all remaining fluent symbols. 6 | -------------------------------------------------------------------------------- /markdown/23-Natural-Language-For-Communication/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Augment the $\large \varepsilon_1$ grammar so that it handles article–noun agreement. That is, 4 | make sure that “agents” and “an agent” are ${\it NP}$s, but 5 | “agent” and “an agents” are not. 6 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_6/question.md: -------------------------------------------------------------------------------- 1 | Suppose that a Prolog program containing many clauses about the rules of 2 | British citizenship is compiled and run on an ordinary computer. Analyze 3 | the “brain states” of the computer under wide and narrow content. 4 | -------------------------------------------------------------------------------- /Gemfile: -------------------------------------------------------------------------------- 1 | # frozen_string_literal: true 2 | 3 | source "https://rubygems.org" 4 | 5 | git_source(:github) {|repo_name| "https://github.com/#{repo_name}" } 6 | 7 | # gem "rails" 8 | group :jekyll_plugins do 9 | gem "jekyll-paginate" 10 | end 11 | 12 | gem "jekyll", "~> 3.8" 13 | -------------------------------------------------------------------------------- /_site/markdown/23-Natural-Language-For-Communication/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Augment the $\large \varepsilon_1$ grammar so that it handles article–noun agreement. That is, 4 | make sure that “agents” and “an agent” are ${\it NP}$s, but 5 | “agent” and “an agents” are not. 6 | -------------------------------------------------------------------------------- /_site/markdown/4-Beyond-Classical-Search/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Consider the sensorless version of the 4 | erratic vacuum world. Draw the belief-state space reachable from the 5 | initial belief state $\{1,2,3,4,5,6,7,8\}$, and explain why the 6 | problem is unsolvable. 7 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_22/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write out the axioms required for reasoning about the wumpus’s location, 4 | using a constant symbol ${Wumpus}$ and a binary predicate 5 | ${At}({Wumpus}, {Location})$. Remember that there is only one 6 | wumpus. 7 | -------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_31/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.31 4 | permalink: /probability-exercises/ex_31/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex31 7 | --- 8 | 9 | {% include mathjax_support %} 10 | -------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_14/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Any propositional logic sentence is logically 4 | equivalent to the assertion that each possible world in which it would 5 | be false is not the case. From this observation, prove that any sentence 6 | can be written in CNF. 7 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write down a sentence asserting that + is a commutative function. Does 4 | your sentence follow from the Peano axioms? If so, explain why; if not, 5 | give a model in which the axioms are true and your sentence is false. 6 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_6/question.md: -------------------------------------------------------------------------------- 1 | Suppose that a Prolog program containing many clauses about the rules of 2 | British citizenship is compiled and run on an ordinary computer. Analyze 3 | the “brain states” of the computer under wide and narrow content. 4 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_14/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Any propositional logic sentence is logically 4 | equivalent to the assertion that each possible world in which it would 5 | be false is not the case. From this observation, prove that any sentence 6 | can be written in CNF. 7 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_18/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write down a sentence asserting that + is a commutative function. Does 4 | your sentence follow from the Peano axioms? If so, explain why; if not, 5 | give a model in which the axioms are true and your sentence is false. 6 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 1.1 4 | permalink: /intro-exercises/ex_1/ 5 | breadcrumb: 1-Introduction 6 | canonical_id: ch1ex1 7 | --- 8 | {% include mathjax_support %} 9 |
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-------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 1.3 4 | permalink: /intro-exercises/ex_3/ 5 | breadcrumb: 1-Introduction 6 | canonical_id: ch1ex3 7 | --- 8 | {% include mathjax_support %} 9 |
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-------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_4/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 1.4 4 | permalink: /intro-exercises/ex_4/ 5 | breadcrumb: 1-Introduction 6 | canonical_id: ch1ex4 7 | --- 8 | {% include mathjax_support %} 9 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a set of sentences that allows one to calculate the price of an 4 | individual tomato (or other object), given the price per pound. Extend 5 | the theory to allow the price of a bag of tomatoes to be calculated. 6 | -------------------------------------------------------------------------------- /markdown/21-Reinforcement-Learning/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Devise suitable features for reinforcement learning in stochastic grid 4 | worlds (generalizations of the $4\times 3$ world) that contain multiple 5 | obstacles and multiple terminal states with rewards of $+1$ or $-1$. 6 | -------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_12/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.12 4 | permalink: /robotics-exercises/ex_12/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex12 7 | --- 8 | {% include mathjax_support %} 9 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_20/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that with a positive linear 4 | transformation of leaf values (i.e., transforming a value $x$ to 5 | $ax + b$ where $a > 0$), the choice of move remains unchanged in a game 6 | tree, even when there are chance nodes. 7 | -------------------------------------------------------------------------------- /_layouts/answersubmitted.html: -------------------------------------------------------------------------------- 1 | --- 2 | layout: default 3 | comments: true 4 | --- 5 |
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15 | -------------------------------------------------------------------------------- /_site/markdown/12-Knowledge-Representation/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write a set of sentences that allows one to calculate the price of an 4 | individual tomato (or other object), given the price per pound. Extend 5 | the theory to allow the price of a bag of tomatoes to be calculated. 6 | -------------------------------------------------------------------------------- /_site/markdown/21-Reinforcement-Learning/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Devise suitable features for reinforcement learning in stochastic grid 4 | worlds (generalizations of the $4\times 3$ world) that contain multiple 5 | obstacles and multiple terminal states with rewards of $+1$ or $-1$. 6 | -------------------------------------------------------------------------------- /_site/markdown/5-Adversarial-Search/exercises/ex_20/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Prove that with a positive linear 4 | transformation of leaf values (i.e., transforming a value $x$ to 5 | $ax + b$ where $a > 0$), the choice of move remains unchanged in a game 6 | tree, even when there are chance nodes. 7 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | Does a refutation of the Chinese room argument necessarily prove that 2 | appropriately programmed computers have mental states? Does an 3 | acceptance of the argument necessarily mean that computers cannot have 4 | mental states? 5 | -------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | Compare the social impact of artificial intelligence in the last fifty 2 | years with the social impact of the introduction of electric appliances 3 | and the internal combustion engine in the fifty years between 1890 and 4 | 1940. 5 | -------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_15/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 3.15 4 | permalink: /search-exercises/ex_15/ 5 | breadcrumb: 3-Solving-Problems-By-Searching 6 | canonical_id: ch3ex15 7 | --- 8 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | Suppose you have an oracle, $OM(s)$, that correctly predicts the 2 | opponent’s move in any state. Using this, formulate the definition of a 3 | game as a (single-agent) search problem. Describe an algorithm for 4 | finding the optimal move. 5 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | Does a refutation of the Chinese room argument necessarily prove that 2 | appropriately programmed computers have mental states? Does an 3 | acceptance of the argument necessarily mean that computers cannot have 4 | mental states? 5 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | Compare the social impact of artificial intelligence in the last fifty 2 | years with the social impact of the introduction of electric appliances 3 | and the internal combustion engine in the fifty years between 1890 and 4 | 1940. 5 | -------------------------------------------------------------------------------- /_site/markdown/5-Adversarial-Search/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | Suppose you have an oracle, $OM(s)$, that correctly predicts the 2 | opponent’s move in any state. Using this, formulate the definition of a 3 | game as a (single-agent) search problem. Describe an algorithm for 4 | finding the optimal move. 5 | -------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Construct levels 0, 1, and 2 of the planning graph for the problem in 4 | Figure airport-pddl-algorithm 5 | -------------------------------------------------------------------------------- /markdown/20-Learning-Probabilistic-Models/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Repeat Exercise bayes-candy-exercise, this time 4 | plotting the values of 5 | $P(D_{N+1}=lime|h_{MAP})$ and 6 | $P(D_{N+1}=lime|h_{ML})$. 7 | -------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.1 4 | permalink: /robotics-exercises/ex_1/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_2/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.2 4 | permalink: /robotics-exercises/ex_2/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex2 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.3 4 | permalink: /robotics-exercises/ex_3/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex3 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_4/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.4 4 | permalink: /robotics-exercises/ex_4/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex4 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.5 4 | permalink: /robotics-exercises/ex_5/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_6/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.6 4 | permalink: /robotics-exercises/ex_6/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex6 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_7/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.7 4 | permalink: /robotics-exercises/ex_7/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex7 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_8/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.8 4 | permalink: /robotics-exercises/ex_8/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex8 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_9/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.9 4 | permalink: /robotics-exercises/ex_9/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex9 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/7-Logical-Agents/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | We have defined four binary logical connectives.
4 | 5 | 1. Are there any others that might be useful?
6 | 7 | 2. How many binary connectives can there be?
8 | 9 | 3. Why are some of them not very useful?
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17 | 18 | -------------------------------------------------------------------------------- /_site/markdown/7-Logical-Agents/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | We have defined four binary logical connectives.
4 | 5 | 1. Are there any others that might be useful?
6 | 7 | 2. How many binary connectives can there be?
8 | 9 | 3. Why are some of them not very useful?
10 | -------------------------------------------------------------------------------- /markdown/1-Introduction/exercises/ex_10/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 1.10 4 | permalink: /intro-exercises/ex_10/ 5 | breadcrumb: 1-Introduction 6 | canonical_id: ch1ex10 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/11-Planning-And-Acting-In-The-Real-World/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Find a suitably dirty carpet, free of obstacles, and vacuum it. Draw the 4 | path taken by the vacuum cleaner as accurately as you can. Explain it, 5 | with reference to the forms of planning discussed in this chapter. 6 | -------------------------------------------------------------------------------- /markdown/24-Perception/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | In the shadow of a tree with a dense, leafy canopy, one sees a number of 4 | light spots. Surprisingly, they all appear to be circular. Why? After 5 | all, the gaps between the leaves through which the sun shines are not 6 | likely to be circular. 7 | -------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_10/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 25.10 4 | permalink: /robotics-exercises/ex_10/ 5 | breadcrumb: 25-Robotics 6 | canonical_id: ch25ex10 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/26-Philosophical-Foundations/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | Go through Turing’s list of alleged 2 | “disabilities” of machines, identifying which have been achieved, which 3 | are achievable in principle by a program, and which are still 4 | problematic because they require conscious mental states. 5 | 6 | -------------------------------------------------------------------------------- /markdown/answersubmittedd.html: -------------------------------------------------------------------------------- 1 | --- 2 | layout: answersubmitted 3 | permalink: /answersubmitted/ 4 | --- 5 |

Thank You

6 |

Your answer has been submitted. The answer will be visible after approval from an admin under the Student answers section.

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17 | 18 | -------------------------------------------------------------------------------- /_site/markdown/10-Classical-Planning/exercises/ex_10/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Construct levels 0, 1, and 2 of the planning graph for the problem in 4 | Figure airport-pddl-algorithm 5 | -------------------------------------------------------------------------------- /_site/markdown/11-Planning-And-Acting-In-The-Real-World/exercises/ex_12/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Find a suitably dirty carpet, free of obstacles, and vacuum it. Draw the 4 | path taken by the vacuum cleaner as accurately as you can. Explain it, 5 | with reference to the forms of planning discussed in this chapter. 6 | -------------------------------------------------------------------------------- /_site/markdown/20-Learning-Probabilistic-Models/exercises/ex_2/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Repeat Exercise bayes-candy-exercise, this time 4 | plotting the values of 5 | $P(D_{N+1}=lime|h_{MAP})$ and 6 | $P(D_{N+1}=lime|h_{ML})$. 7 | -------------------------------------------------------------------------------- /_site/markdown/24-Perception/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | In the shadow of a tree with a dense, leafy canopy, one sees a number of 4 | light spots. Surprisingly, they all appear to be circular. Why? After 5 | all, the gaps between the leaves through which the sun shines are not 6 | likely to be circular. 7 | -------------------------------------------------------------------------------- /markdown/17-Making-Complex-Decision/exercises/ex_14/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How can the value determination algorithm be 4 | used to calculate the expected loss experienced by an agent using a 5 | given set of utility estimates ${U}$ and an estimated 6 | model ${P}$, compared with an agent using correct values? 7 | -------------------------------------------------------------------------------- /markdown/24-Perception/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 24.1 4 | permalink: /perception-exercises/ex_1/ 5 | breadcrumb: 24-Perception 6 | canonical_id: ch24ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /_site/markdown/17-Making-Complex-Decision/exercises/ex_14/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | How can the value determination algorithm be 4 | used to calculate the expected loss experienced by an agent using a 5 | given set of utility estimates ${U}$ and an estimated 6 | model ${P}$, compared with an agent using correct values? 7 | -------------------------------------------------------------------------------- /_site/markdown/26-Philosophical-Foundations/exercises/ex_1/question.md: -------------------------------------------------------------------------------- 1 | Go through Turing’s list of alleged 2 | “disabilities” of machines, identifying which have been achieved, which 3 | are achievable in principle by a program, and which are still 4 | problematic because they require conscious mental states. 5 | 6 | -------------------------------------------------------------------------------- /markdown/2-Intelligent-Agent/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 2.1 4 | permalink: /agents-exercises/ex_1/ 5 | breadcrumb: 2-Intelligent-Agent 6 | canonical_id: ch2ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/3-Solving-Problems-By-Searching/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Does a finite state space always lead to a finite search tree? How about 4 | a finite state space that is a tree? Can you be more precise about what 5 | types of state spaces always lead to finite search trees? (Adapted from 6 | , 1996.) 7 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.1 4 | permalink: /fol-exercises/ex_1/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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11 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_9/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.9 4 | permalink: /fol-exercises/ex_9/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex9 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_6/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.6 4 | permalink: /game-playing-exercises/ex_6/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex6 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_7/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.7 4 | permalink: /game-playing-exercises/ex_7/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex7 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_8/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.8 4 | permalink: /game-playing-exercises/ex_8/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex8 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_9/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.9 4 | permalink: /game-playing-exercises/ex_9/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex9 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_10/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.10 4 | permalink: /fol-exercises/ex_10/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex10 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_11/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.11 4 | permalink: /fol-exercises/ex_11/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex11 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_12/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.12 4 | permalink: /fol-exercises/ex_12/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex12 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_13/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.13 4 | permalink: /fol-exercises/ex_13/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex13 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_14/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.14 4 | permalink: /fol-exercises/ex_14/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex14 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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11 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_15/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.15 4 | permalink: /fol-exercises/ex_15/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex15 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_16/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.16 4 | permalink: /fol-exercises/ex_16/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex16 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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11 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_17/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.17 4 | permalink: /fol-exercises/ex_17/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex17 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_18/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.18 4 | permalink: /fol-exercises/ex_18/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex18 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_19/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.19 4 | permalink: /fol-exercises/ex_19/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex19 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_20/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.20 4 | permalink: /fol-exercises/ex_20/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex20 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_21/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.21 4 | permalink: /fol-exercises/ex_21/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex21 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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11 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_22/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.22 4 | permalink: /fol-exercises/ex_22/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex29 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_23/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.23 4 | permalink: /fol-exercises/ex_23/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex23 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_24/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.24 4 | permalink: /fol-exercises/ex_24/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex24 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_25/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.25 4 | permalink: /fol-exercises/ex_25/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex25 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_26/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.26 4 | permalink: /fol-exercises/ex_26/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex26 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_27/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.27 4 | permalink: /fol-exercises/ex_27/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex27 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_28/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.28 4 | permalink: /fol-exercises/ex_28/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex28 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_29/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.29 4 | permalink: /fol-exercises/ex_29/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex29 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_30/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.30 4 | permalink: /fol-exercises/ex_30/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex30 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_31/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.31 4 | permalink: /fol-exercises/ex_31/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex31 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_32/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.32 4 | permalink: /fol-exercises/ex_32/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex32 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_33/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.33 4 | permalink: /fol-exercises/ex_33/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex33 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_34/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.34 4 | permalink: /fol-exercises/ex_34/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex34 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_35/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.35 4 | permalink: /fol-exercises/ex_35/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex35 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_36/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.36 4 | permalink: /fol-exercises/ex_36/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex36 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_10/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.10 4 | permalink: /planning-exercises/ex_10/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex10 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_11/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.11 4 | permalink: /planning-exercises/ex_11/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex11 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_12/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.12 4 | permalink: /planning-exercises/ex_12/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex12 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_13/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.13 4 | permalink: /planning-exercises/ex_13/ 5 | breadcrumb: 10-Classical-Planning 6 | bookmarkID: ex10.13 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_14/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.14 4 | permalink: /planning-exercises/ex_14/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex14 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_15/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.15 4 | permalink: /planning-exercises/ex_15/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex15 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_16/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.16 4 | permalink: /planning-exercises/ex_16/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex16 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_17/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.17 4 | permalink: /planning-exercises/ex_17/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex17 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_18/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 10.18 4 | permalink: /planning-exercises/ex_18/ 5 | breadcrumb: 10-Classical-Planning 6 | canonical_id: ch10ex18 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.1 4 | permalink: /ilp-exercises/ex_1/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_2/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.2 4 | permalink: /ilp-exercises/ex_2/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex2 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.3 4 | permalink: /ilp-exercises/ex_3/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex3 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_4/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.4 4 | permalink: /ilp-exercises/ex_4/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex4 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.5 4 | permalink: /ilp-exercises/ex_5/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_6/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.6 4 | permalink: /ilp-exercises/ex_6/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex6 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_7/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.7 4 | permalink: /ilp-exercises/ex_7/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex7 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/19-Knowledge-In-Learning/exercises/ex_8/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 19.8 4 | permalink: /ilp-exercises/ex_8/ 5 | breadcrumb: 19-Knowledge-In-Learning 6 | canonical_id: ch19ex8 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/25-Robotics/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Implement an algorithm for calculating the Voronoi 4 | diagram of an arbitrary 2D environment, described by an $n\times n$ 5 | Boolean array. Illustrate your algorithm by plotting the Voronoi diagram 6 | for 10 interesting maps. What is the complexity of your algorithm? 7 | -------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_10/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.10 4 | permalink: /game-playing-exercises/ex_10/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex10 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_11/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.11 4 | permalink: /game-playing-exercises/ex_11/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex11 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_12/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.12 4 | permalink: /game-playing-exercises/ex_12/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex12 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_13/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.13 4 | permalink: /game-playing-exercises/ex_13/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex13 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_14/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.14 4 | permalink: /game-playing-exercises/ex_14/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex14 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_15/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.15 4 | permalink: /game-playing-exercises/ex_15/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex15 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_16/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.16 4 | permalink: /game-playing-exercises/ex_16/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex16 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_17/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.17 4 | permalink: /game-playing-exercises/ex_17/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex17 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_18/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.18 4 | permalink: /game-playing-exercises/ex_18/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex18 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_19/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.19 4 | permalink: /game-playing-exercises/ex_19/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex19 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_20/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.20 4 | permalink: /game-playing-exercises/ex_20/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex20 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_21/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.21 4 | permalink: /game-playing-exercises/ex_21/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex21 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_22/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.22 4 | permalink: /game-playing-exercises/ex_22/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex22 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_23/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.23 4 | permalink: /game-playing-exercises/ex_23/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex23 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_24/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.24 4 | permalink: /game-playing-exercises/ex_24/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex24 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/5-Adversarial-Search/exercises/ex_25/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 5.25 4 | permalink: /game-playing-exercises/ex_25/ 5 | breadcrumb: 5-Adversarial-Search 6 | canonical_id: ch5ex25 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_35/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Obtain a passport application for your country, identify the rules 4 | determining eligibility for a passport, and translate them into 5 | first-order logic, following the steps outlined in 6 | Section circuits-section 7 | -------------------------------------------------------------------------------- /markdown/9-Inference-In-First-Order-Logic/exercises/ex_30/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Resolution can produce nonconstructive proofs for queries with 4 | variables, so we had to introduce special mechanisms to extract definite 5 | answers. Explain why this issue does not arise with knowledge bases 6 | containing only definite clauses. 7 | -------------------------------------------------------------------------------- /_site/markdown/25-Robotics/exercises/ex_7/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Implement an algorithm for calculating the Voronoi 4 | diagram of an arbitrary 2D environment, described by an $n\times n$ 5 | Boolean array. Illustrate your algorithm by plotting the Voronoi diagram 6 | for 10 interesting maps. What is the complexity of your algorithm? 7 | -------------------------------------------------------------------------------- /markdown/10-Classical-Planning/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | The set-level heuristic (see page set-level-page uses a planning graph 4 | to estimate the cost of achieving a conjunctive goal from the current 5 | state. What relaxed problem is the set-level heuristic the solution to? 6 | -------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.1 4 | permalink: /kr-exercises/ex_1/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_10/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.10 4 | permalink: /kr-exercises/ex_10/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex10 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_11/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.11 4 | permalink: /kr-exercises/ex_11/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex11 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_12/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.12 4 | permalink: /kr-exercises/ex_12/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex12 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_13/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.13 4 | permalink: /kr-exercises/ex_13/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex13 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_14/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.14 4 | permalink: /kr-exercises/ex_14/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex14 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_15/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.15 4 | permalink: /kr-exercises/ex_15/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex15 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_16/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.16 4 | permalink: /kr-exercises/ex_16/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex16 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_17/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.17 4 | permalink: /kr-exercises/ex_17/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex17 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_18/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.18 4 | permalink: /kr-exercises/ex_18/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex18 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_19/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.19 4 | permalink: /kr-exercises/ex_19/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex19 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_2/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.2 4 | permalink: /kr-exercises/ex_2/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex2 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_20/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.20 4 | permalink: /kr-exercises/ex_20/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex20 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_21/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.21 4 | permalink: /kr-exercises/ex_21/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex21 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_22/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.22 4 | permalink: /kr-exercises/ex_22/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex22 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_23/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.23 4 | permalink: /kr-exercises/ex_23/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex23 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_24/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.24 4 | permalink: /kr-exercises/ex_24/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex24 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_25/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.25 4 | permalink: /kr-exercises/ex_25/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex25 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_26/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.26 4 | permalink: /kr-exercises/ex_26/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex26 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_27/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.27 4 | permalink: /kr-exercises/ex_27/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex27 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_28/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.28 4 | permalink: /kr-exercises/ex_28/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex28 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_29/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.29 4 | permalink: /kr-exercises/ex_29/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex29 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.3 4 | permalink: /kr-exercises/ex_3/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex3 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_30/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.30 4 | permalink: /kr-exercises/ex_30/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex30 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_4/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.4 4 | permalink: /kr-exercises/ex_4/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex4 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.5 4 | permalink: /kr-exercises/ex_5/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_6/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.6 4 | permalink: /kr-exercises/ex_6/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex6 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_7/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.7 4 | permalink: /kr-exercises/ex_7/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex7 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_8/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.8 4 | permalink: /kr-exercises/ex_8/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex8 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/12-Knowledge-Representation/exercises/ex_9/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 12.9 4 | permalink: /kr-exercises/ex_9/ 5 | breadcrumb: 12-Knowledge-Representation 6 | canonical_id: ch12ex9 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_27/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write out a general algorithm for answering queries of the form 4 | ${\textbf{P}}({Cause}{{\,|\,}}\textbf{e})$, using a naive Bayes 5 | distribution. Assume that the evidence $\textbf{e}$ may assign values to 6 | any subset of the effect variables. 7 | -------------------------------------------------------------------------------- /markdown/2-Intelligent-Agent/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 2.5 (PEAS-exercise) 4 | permalink: /agents-exercises/ex_5/ 5 | breadcrumb: 2-Intelligent-Agent 6 | canonical_id: ch2ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/23-Natural-Language-For-Communication/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Collect some examples of time expressions, such as “two o’clock,” 4 | “midnight,” and “12:46.” Also think up some examples that are 5 | ungrammatical, such as “thirteen o’clock” or “half past two fifteen.” 6 | Write a grammar for the time language. 7 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Rewrite the first two Peano axioms in 4 | Section Peano-section as a single axiom that defines 5 | ${NatNum}(x)$ so as to exclude the possibility of natural numbers 6 | except for those generated by the successor function. 7 | -------------------------------------------------------------------------------- /markdown/8-First-Order-Logic/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 8.5 4 | permalink: /fol-exercises/ex_5/ 5 | breadcrumb: 8-First-Order-Logic 6 | canonical_id: ch8ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 | 11 |
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12 | 13 | -------------------------------------------------------------------------------- /_site/markdown/10-Classical-Planning/exercises/ex_13/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | The set-level heuristic (see page set-level-page uses a planning graph 4 | to estimate the cost of achieving a conjunctive goal from the current 5 | state. What relaxed problem is the set-level heuristic the solution to? 6 | -------------------------------------------------------------------------------- /_site/markdown/13-Quantifying-Uncertainity/exercises/ex_27/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Write out a general algorithm for answering queries of the form 4 | ${\textbf{P}}({Cause}{{\,|\,}}\textbf{e})$, using a naive Bayes 5 | distribution. Assume that the evidence $\textbf{e}$ may assign values to 6 | any subset of the effect variables. 7 | -------------------------------------------------------------------------------- /_site/markdown/23-Natural-Language-For-Communication/exercises/ex_8/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Collect some examples of time expressions, such as “two o’clock,” 4 | “midnight,” and “12:46.” Also think up some examples that are 5 | ungrammatical, such as “thirteen o’clock” or “half past two fifteen.” 6 | Write a grammar for the time language. 7 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_15/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Rewrite the first two Peano axioms in 4 | Section Peano-section as a single axiom that defines 5 | ${NatNum}(x)$ so as to exclude the possibility of natural numbers 6 | except for those generated by the successor function. 7 | -------------------------------------------------------------------------------- /_site/markdown/8-First-Order-Logic/exercises/ex_35/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Obtain a passport application for your country, identify the rules 4 | determining eligibility for a passport, and translate them into 5 | first-order logic, following the steps outlined in 6 | Section circuits-section 7 | -------------------------------------------------------------------------------- /_site/markdown/9-Inference-In-First-Order-Logic/exercises/ex_30/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Resolution can produce nonconstructive proofs for queries with 4 | variables, so we had to introduce special mechanisms to extract definite 5 | answers. Explain why this issue does not arise with knowledge bases 6 | containing only definite clauses. 7 | -------------------------------------------------------------------------------- /markdown/11-Planning-And-Acting-In-The-Real-World/exercises/ex_4/question.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | Suppose that the optimistic reachable set of a high-level plan is a 4 | superset of the goal set; can anything be concluded about whether the 5 | plan achieves the goal? What if the pessimistic reachable set doesn’t 6 | intersect the goal set? Explain. 7 | -------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.1 4 | permalink: /probability-exercises/ex_1/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_2/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.2 4 | permalink: /probability-exercises/ex_2/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex2 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.3 4 | permalink: /probability-exercises/ex_3/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex3 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_4/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.4 4 | permalink: /probability-exercises/ex_4/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex4 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.5 4 | permalink: /probability-exercises/ex_5/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_6/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.6 4 | permalink: /probability-exercises/ex_6/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex6 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_7/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.7 4 | permalink: /probability-exercises/ex_7/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex7 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_8/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.8 4 | permalink: /probability-exercises/ex_8/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex8 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/13-Quantifying-Uncertainity/exercises/ex_9/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 13.9 4 | permalink: /probability-exercises/ex_9/ 5 | breadcrumb: 13-Quantifying-Uncertainity 6 | canonical_id: ch13ex9 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_1/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.1 4 | permalink: /bayes-nets-exercises/ex_1/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex1 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_18/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.18 4 | permalink: /bayes-nets-exercises/ex_18/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ex14.18 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_2/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.2 4 | permalink: /bayes-nets-exercises/ex_2/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex2 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_3/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.3 4 | permalink: /bayes-nets-exercises/ex_3/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex3 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_4/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.4 4 | permalink: /bayes-nets-exercises/ex_4/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex4 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_5/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.5 4 | permalink: /bayes-nets-exercises/ex_5/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex5 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_6/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.6 4 | permalink: /bayes-nets-exercises/ex_6/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex6 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_7/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.7 4 | permalink: /bayes-nets-exercises/ex_7/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex7 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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-------------------------------------------------------------------------------- /markdown/14-Probabilistic-Reasoning/exercises/ex_8/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: exercise 3 | title: Exercise 14.8 4 | permalink: /bayes-nets-exercises/ex_8/ 5 | breadcrumb: 14-Probabilistic-Reasoning 6 | canonical_id: ch14ex8 7 | --- 8 | 9 | {% include mathjax_support %} 10 |
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