├── .gitignore
├── LICENSE.txt
├── README.md
├── analyses_simulations
├── .gitignore
├── Pipfile
├── Pipfile.lock
├── fit_rlmodels_mcmc.py
├── logistic_regression_human_data.py
├── models
│ ├── hybrid.stan
│ ├── hybrid_mistake.stan
│ ├── hybrid_no_log_lik.stan
│ ├── logreg_model.stan
│ └── model_based.stan
├── plots
│ └── .gitignore
├── results
│ └── .gitignore
├── stay_probabilities_human_data.py
├── utils.py
└── wrong_model_based_agents.py
├── magic_carpet
├── .gitignore
├── __init__.py
├── assets
│ ├── arrow_left.png
│ ├── arrow_right.png
│ ├── break.png
│ ├── carpet_background.png
│ ├── carpet_symbols.png
│ ├── carpets.png
│ ├── carpets_glow.png
│ ├── carpets_glow_tutorial.png
│ ├── carpets_to_black_red.png
│ ├── carpets_to_red_black.png
│ ├── carpets_tutorial.png
│ ├── flight_black-black_red-wind.png
│ ├── flight_black-black_red.png
│ ├── flight_black-red_black-wind.png
│ ├── flight_black-red_black.png
│ ├── flight_red-black_red-wind.png
│ ├── flight_red-black_red.png
│ ├── flight_red-red_black-wind.png
│ ├── flight_red-red_black.png
│ ├── game.png
│ ├── game_instructions.txt
│ ├── genie_coin.png
│ ├── genie_zero.png
│ ├── instructions
│ │ ├── arrow_left.png
│ │ ├── arrow_right.png
│ │ ├── break_instructions.png
│ │ ├── carpet_background.png
│ │ ├── carpet_symbols.png
│ │ ├── carpets.png
│ │ ├── carpets_glow.png
│ │ ├── carpets_glow_tutorial.png
│ │ ├── carpets_to_black_red.png
│ │ ├── carpets_to_red_black.png
│ │ ├── carpets_tutorial.png
│ │ ├── flight_black-black_red-wind.png
│ │ ├── flight_black-black_red.png
│ │ ├── flight_black-red_black-wind.png
│ │ ├── flight_black-red_black.png
│ │ ├── flight_blue-blue_pink-wind.png
│ │ ├── flight_blue-blue_pink.png
│ │ ├── flight_blue-pink_blue-wind.png
│ │ ├── flight_blue-pink_blue.png
│ │ ├── flight_pink-blue_pink-wind.png
│ │ ├── flight_pink-blue_pink.png
│ │ ├── flight_pink-pink_blue-wind.png
│ │ ├── flight_pink-pink_blue.png
│ │ ├── flight_red-black_red-wind.png
│ │ ├── flight_red-black_red.png
│ │ ├── flight_red-red_black-wind.png
│ │ ├── flight_red-red_black.png
│ │ ├── game.png
│ │ ├── genie_coin.png
│ │ ├── genie_zero.png
│ │ ├── lamps_black.png
│ │ ├── lamps_black_glow.png
│ │ ├── lamps_blue.png
│ │ ├── lamps_blue_glow.png
│ │ ├── lamps_pink.png
│ │ ├── lamps_pink_glow.png
│ │ ├── lamps_red.png
│ │ ├── lamps_red_glow.png
│ │ ├── left_carpet_destination.png
│ │ ├── left_carpet_selected.png
│ │ ├── left_lamp_selected.png
│ │ ├── left_lamp_symbol.png
│ │ ├── nap.png
│ │ ├── quiz.png
│ │ ├── quiz_correct.png
│ │ ├── quiz_incorrect.png
│ │ ├── reward_black.png
│ │ ├── reward_blue.png
│ │ ├── reward_pink.png
│ │ ├── reward_red.png
│ │ ├── right_carpet_destination.png
│ │ ├── right_carpet_selected.png
│ │ ├── right_lamp_selected.png
│ │ ├── right_lamp_symbol.png
│ │ ├── rubbed_lamp.png
│ │ ├── slow1.png
│ │ ├── slow2.png
│ │ ├── space.png
│ │ ├── tibetan.01.png
│ │ ├── tibetan.0102.png
│ │ ├── tibetan.02.png
│ │ ├── tibetan.0201.png
│ │ ├── tibetan.03.png
│ │ ├── tibetan.0304.png
│ │ ├── tibetan.04.png
│ │ ├── tibetan.0403.png
│ │ ├── tibetan.05.png
│ │ ├── tibetan.0506.png
│ │ ├── tibetan.06.png
│ │ ├── tibetan.0605.png
│ │ ├── tibetan.0708.png
│ │ ├── tibetan.0807.png
│ │ ├── tibetan.09.png
│ │ ├── tibetan.0910.png
│ │ ├── tibetan.10.png
│ │ ├── tibetan.1009.png
│ │ ├── tibetan.11.png
│ │ ├── tibetan.1112.png
│ │ ├── tibetan.12.png
│ │ ├── tibetan.1211.png
│ │ ├── tutorial.png
│ │ ├── tutorial_carpet_symbols.png
│ │ ├── tutorial_left_carpet_selected.png
│ │ └── tutorial_right_carpet_selected.png
│ ├── lamps_black.png
│ ├── lamps_black_glow.png
│ ├── lamps_blue.png
│ ├── lamps_blue_glow.png
│ ├── lamps_pink.png
│ ├── lamps_pink_glow.png
│ ├── lamps_red.png
│ ├── lamps_red_glow.png
│ ├── left_carpet_destination.png
│ ├── left_carpet_selected.png
│ ├── left_lamp_selected.png
│ ├── left_lamp_symbol.png
│ ├── nap.png
│ ├── quiz.py
│ ├── quiz_correct.png
│ ├── quiz_incorrect.png
│ ├── reward_black.png
│ ├── reward_blue.png
│ ├── reward_pink.png
│ ├── reward_red.png
│ ├── right_carpet_destination.png
│ ├── right_carpet_selected.png
│ ├── right_lamp_selected.png
│ ├── right_lamp_symbol.png
│ ├── rubbed_lamp.png
│ ├── slow1.png
│ ├── slow2.png
│ ├── tibetan.01.png
│ ├── tibetan.0102.png
│ ├── tibetan.02.png
│ ├── tibetan.0201.png
│ ├── tibetan.03.png
│ ├── tibetan.0304.png
│ ├── tibetan.04.png
│ ├── tibetan.0403.png
│ ├── tibetan.05.png
│ ├── tibetan.0506.png
│ ├── tibetan.06.png
│ ├── tibetan.0605.png
│ ├── tibetan.0708.png
│ ├── tibetan.0807.png
│ ├── tibetan.09.png
│ ├── tibetan.0910.png
│ ├── tibetan.10.png
│ ├── tibetan.1009.png
│ ├── tibetan.11.png
│ ├── tibetan.1112.png
│ ├── tibetan.12.png
│ ├── tibetan.1211.png
│ ├── tutorial_carpet_symbols.png
│ ├── tutorial_flights_instructions.txt
│ ├── tutorial_instructions.txt
│ ├── tutorial_left_carpet_selected.png
│ └── tutorial_right_carpet_selected.png
└── exp.py
├── results
├── magic_carpet
│ ├── choices
│ │ ├── 01085_config.txt
│ │ ├── 03187_config.txt
│ │ ├── 03187_game.csv
│ │ ├── 03187_tutorial.csv
│ │ ├── 04862_config.txt
│ │ ├── 04862_game.csv
│ │ ├── 04862_tutorial.csv
│ │ ├── 04936_config.txt
│ │ ├── 04936_game.csv
│ │ ├── 04936_tutorial.csv
│ │ ├── 04960_config.txt
│ │ ├── 04960_game.csv
│ │ ├── 04960_tutorial.csv
│ │ ├── 09695_config.txt
│ │ ├── 09695_game.csv
│ │ ├── 09695_tutorial.csv
│ │ ├── 10951_config.txt
│ │ ├── 10951_game.csv
│ │ ├── 10951_tutorial.csv
│ │ ├── 16691_config.txt
│ │ ├── 16691_game.csv
│ │ ├── 16691_tutorial.csv
│ │ ├── 17946_config.txt
│ │ ├── 17946_game.csv
│ │ ├── 17946_tutorial.csv
│ │ ├── 19223_config.txt
│ │ ├── 23849_config.txt
│ │ ├── 23849_game.csv
│ │ ├── 23849_tutorial.csv
│ │ ├── 26949_config.txt
│ │ ├── 27722_config.txt
│ │ ├── 31133_config.txt
│ │ ├── 33765_config.txt
│ │ ├── 33765_game.csv
│ │ ├── 33765_tutorial.csv
│ │ ├── 35102_config.txt
│ │ ├── 35102_game.csv
│ │ ├── 35102_tutorial.csv
│ │ ├── 38721_config.txt
│ │ ├── 44275_config.txt
│ │ ├── 46080_config.txt
│ │ ├── 46080_game.csv
│ │ ├── 46080_tutorial.csv
│ │ ├── 49147_config.txt
│ │ ├── 53366_config.txt
│ │ ├── 53366_game.csv
│ │ ├── 53366_tutorial.csv
│ │ ├── 55027_config.txt
│ │ ├── 55027_game.csv
│ │ ├── 55027_tutorial.csv
│ │ ├── 57120_config.txt
│ │ ├── 57653_config.txt
│ │ ├── 57653_game.csv
│ │ ├── 57653_tutorial.csv
│ │ ├── 61120_config.txt
│ │ ├── 61120_game.csv
│ │ ├── 61120_tutorial.csv
│ │ ├── 63342_config.txt
│ │ ├── 63520_config.txt
│ │ ├── 63520_game.csv
│ │ ├── 63520_tutorial.csv
│ │ ├── 68012_config.txt
│ │ ├── 68012_game.csv
│ │ ├── 68012_tutorial.csv
│ │ ├── 75759_config.txt
│ │ ├── 75759_game.csv
│ │ ├── 75759_tutorial.csv
│ │ ├── 77823_config.txt
│ │ ├── 88310_config.txt
│ │ ├── 88310_game.csv
│ │ ├── 88310_tutorial.csv
│ │ ├── 92975_config.txt
│ │ ├── 92975_game.csv
│ │ ├── 92975_tutorial.csv
│ │ ├── 94345_config.txt
│ │ ├── 97543_config.txt
│ │ ├── 97543_game.csv
│ │ ├── 97543_tutorial.csv
│ │ ├── 99461_config.txt
│ │ ├── 99461_game.csv
│ │ ├── 99461_tutorial.csv
│ │ ├── 99845_config.txt
│ │ ├── 99845_game.csv
│ │ └── 99845_tutorial.csv
│ └── questionnaires
│ │ ├── 03187_questionnaire.txt
│ │ ├── 04862_questionnaire.txt
│ │ ├── 04936_questionnaire.txt
│ │ ├── 04960_questionnaire.txt
│ │ ├── 09695_questionnaire.txt
│ │ ├── 10951_questionnaire.txt
│ │ ├── 16691_questionnaire.txt
│ │ ├── 17946_questionnaire.txt
│ │ ├── 23849_questionnaire.txt
│ │ ├── 33765_questionnaire.txt
│ │ ├── 35102_questionnaire.txt
│ │ ├── 46080_questionnaire.txt
│ │ ├── 53366_questionnaire.txt
│ │ ├── 55027_questionnaire.txt
│ │ ├── 57653_questionnaire.txt
│ │ ├── 61120_questionnaire.txt
│ │ ├── 63520_questionnaire.txt
│ │ ├── 68012_questionnaire.txt
│ │ ├── 75759_questionnaire.txt
│ │ ├── 88310_questionnaire.txt
│ │ ├── 92975_questionnaire.txt
│ │ ├── 97543_questionnaire.txt
│ │ ├── 99461_questionnaire.txt
│ │ └── 99845_questionnaire.txt
└── spaceship
│ ├── choices
│ ├── 01968.csv
│ ├── 01968_info.txt
│ ├── 01968_practice.csv
│ ├── 05136.csv
│ ├── 05136_info.txt
│ ├── 05136_practice.csv
│ ├── 12251.csv
│ ├── 12251_info.txt
│ ├── 12251_practice.csv
│ ├── 13442.csv
│ ├── 13442_info.txt
│ ├── 13442_practice.csv
│ ├── 14972.csv
│ ├── 14972_info.txt
│ ├── 14972_practice.csv
│ ├── 18796_info.txt
│ ├── 19470.csv
│ ├── 19470_info.txt
│ ├── 19470_practice.csv
│ ├── 21541.csv
│ ├── 21541_info.txt
│ ├── 21541_practice.csv
│ ├── 28896.csv
│ ├── 28896_info.txt
│ ├── 28896_practice.csv
│ ├── 36455.csv
│ ├── 36455_info.txt
│ ├── 36455_practice.csv
│ ├── 36495.csv
│ ├── 36495_info.txt
│ ├── 36495_practice.csv
│ ├── 36848.csv
│ ├── 36848_info.txt
│ ├── 36848_practice.csv
│ ├── 45878.csv
│ ├── 45878_info.txt
│ ├── 45878_practice.csv
│ ├── 57630_info.txt
│ ├── 62517.csv
│ ├── 62517_info.txt
│ ├── 62517_practice.csv
│ ├── 65532.csv
│ ├── 65532_info.txt
│ ├── 65532_practice.csv
│ ├── 67722.csv
│ ├── 67722_info.txt
│ ├── 67722_practice.csv
│ ├── 73081.csv
│ ├── 73081_info.txt
│ ├── 73081_practice.csv
│ ├── 74476.csv
│ ├── 74476_info.txt
│ ├── 74476_practice.csv
│ ├── 78906.csv
│ ├── 78906_info.txt
│ ├── 78906_practice.csv
│ ├── 80449.csv
│ ├── 80449_info.txt
│ ├── 80449_practice.csv
│ ├── 81838.csv
│ ├── 81838_info.txt
│ ├── 81838_practice.csv
│ ├── 94724_info.txt
│ ├── 95030_info.txt
│ ├── 99686.csv
│ ├── 99686_info.txt
│ └── 99686_practice.csv
│ └── questionnaires
│ ├── 01968_questionnaire.txt
│ ├── 05136_questionnaire.txt
│ ├── 12251_questionnaire.txt
│ ├── 13442_questionnaire.txt
│ ├── 14972_questionnaire.txt
│ ├── 19470_questionnaire.txt
│ ├── 21541_questionnaire.txt
│ ├── 28896_questionnaire.txt
│ ├── 36455_questionnaire.txt
│ ├── 36495_questionnaire.txt
│ ├── 36848_questionnaire.txt
│ ├── 45878_questionnaire.txt
│ ├── 62517_questionnaire.txt
│ ├── 65532_questionnaire.txt
│ ├── 67722_questionnaire.txt
│ ├── 73081_questionnaire.txt
│ ├── 74476_questionnaire.txt
│ ├── 78906_questionnaire.txt
│ ├── 80449_questionnaire.txt
│ ├── 81838_questionnaire.txt
│ └── 99686_questionnaire.txt
└── spaceship
├── .gitignore
├── __init__.py
├── assets
├── 2choice_green_arrows.png
├── 2choice_msg.png
├── 2choice_slow.png
├── 2choice_slow_tutorial.png
├── Pillar_Crystal_Black_Left.png
├── Pillar_Crystal_Black_Right.png
├── Pillar_Crystal_Red_Left.png
├── Pillar_Crystal_Red_Right.png
├── Pillar_Empty_Black_Left.png
├── Pillar_Empty_Black_Right.png
├── Pillar_Empty_Red_Left.png
├── Pillar_Empty_Red_Right.png
├── SS_X_Black_Left.png
├── SS_X_Black_Left_EM.png
├── SS_X_Black_Right.png
├── SS_X_Black_Right_EM.png
├── SS_X_Red_Left.png
├── SS_X_Red_Left_EM.png
├── SS_X_Red_Right.png
├── SS_X_Red_Right_EM.png
├── SS_Y_Black_Left.png
├── SS_Y_Black_Left_EM.png
├── SS_Y_Black_Right.png
├── SS_Y_Black_Right_EM.png
├── SS_Y_Red_Left.png
├── SS_Y_Red_Left_EM.png
├── SS_Y_Red_Right.png
├── SS_Y_Red_Right_EM.png
├── Ticket_EMPTY.png
├── Ticket_XY_X-Black.png
├── Ticket_XY_X-Red.png
├── Ticket_XY_Y-Black.png
├── Ticket_XY_Y-Red.png
├── Ticket_YX_X-Black.png
├── Ticket_YX_X-Red.png
├── Ticket_YX_Y-Black.png
├── Ticket_YX_Y-Red.png
├── choice2_Black.png
├── choice2_Red.png
├── game_start.png
├── instructions
│ ├── 1_astronaut.png
│ ├── 2choice_green_arrows.png
│ ├── 2choice_msg.png
│ ├── 2choice_slow.png
│ ├── 2choice_slow_tutorial.png
│ ├── Black_Red_XY.png
│ ├── Black_Red_YX.png
│ ├── Black_x_Red.png
│ ├── Landing_Black.png
│ ├── Landing_Red.png
│ ├── Pillar_Crystal_Black_Left.png
│ ├── Pillar_Crystal_Black_Right.png
│ ├── Pillar_Crystal_Red_Left.png
│ ├── Pillar_Crystal_Red_Right.png
│ ├── Pillar_Empty_Black_Left.png
│ ├── Pillar_Empty_Black_Right.png
│ ├── Pillar_Empty_Red_Left.png
│ ├── Pillar_Empty_Red_Right.png
│ ├── Red_Black_XY.png
│ ├── Red_Black_YX.png
│ ├── Red_x_Black.png
│ ├── SS_X_Black_Left.png
│ ├── SS_X_Black_Left_EM.png
│ ├── SS_X_Black_Right.png
│ ├── SS_X_Black_Right_EM.png
│ ├── SS_X_Red_Left.png
│ ├── SS_X_Red_Left_EM.png
│ ├── SS_X_Red_Right.png
│ ├── SS_X_Red_Right_EM.png
│ ├── SS_Y_Black_Left.png
│ ├── SS_Y_Black_Left_EM.png
│ ├── SS_Y_Black_Right.png
│ ├── SS_Y_Black_Right_EM.png
│ ├── SS_Y_Red_Left.png
│ ├── SS_Y_Red_Left_EM.png
│ ├── SS_Y_Red_Right.png
│ ├── SS_Y_Red_Right_EM.png
│ ├── Ticket_EMPTY.png
│ ├── Ticket_XY_X-Black.png
│ ├── Ticket_XY_X-Red.png
│ ├── Ticket_XY_Y-Black.png
│ ├── Ticket_XY_Y-Red.png
│ ├── Ticket_YX_X-Black.png
│ ├── Ticket_YX_X-Red.png
│ ├── Ticket_YX_Y-Black.png
│ ├── Ticket_YX_Y-Red.png
│ ├── arrow_left.png
│ ├── arrow_right.png
│ ├── break_screen.png
│ ├── choice2_Black.png
│ ├── choice2_Red.png
│ ├── game_start.png
│ ├── left_option.png
│ ├── planet_blank.png
│ ├── practice_flights.png
│ ├── quiz.png
│ ├── quiz_correct.png
│ ├── quiz_incorrect.png
│ ├── quiz_screen.png
│ ├── right_option.png
│ ├── sold_out.png
│ ├── spaceship_blank.png
│ ├── tickets_available.png
│ ├── tutorial.first.png
│ └── tutorial.last.png
├── planet_blank.png
├── practice_flights.png
├── quiz.png
├── sold_out.png
├── spaceship_blank.png
├── tickets_available.png
├── tutorial.Left_X.png
├── tutorial.Left_Y.png
├── tutorial.Right_X.png
├── tutorial.Right_Y.png
├── tutorial.first.png
└── tutorial.last.png
├── exp.py
├── game_instructions.txt
├── quiz.py
└── tutorial_instructions.txt
/.gitignore:
--------------------------------------------------------------------------------
1 | *.bin
2 | results/common_instr_data.csv
3 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | This project contains the code required to run the spaceship and magic carpet
2 | tasks mentioned in the paper:
3 |
4 | Feher da Silva, C., Hare, T.A.
5 | *Humans primarily use model-based inference in the two-stage task.*
6 | Nat Hum Behav (2020). https://doi.org/10.1038/s41562-020-0905-y
7 |
8 | The experiments inside the `magic_carpet` and `spaceship` directories
9 | require Python 2.7 and PsychoPy 2 to run.
10 | They should run on standalone PsychoPy version 1.90.3.
11 | Just run the `exp.py` script in each directory.
12 |
13 | We used the following fonts to display the instructions for the participants:
14 | * `Noteworthy-Bold.ttf` for the spaceship task
15 | * `OpenSans-SemiBold.ttf` for the magic carpet task
16 |
17 | These fonts are not included in this repository because of the license.
18 | To run the tasks, you will need to change the path to these fonts.
19 | Where you have to do this is indicated in the `exp.py` file.
20 |
21 | The behavioral data (choices and questionnaires) can be found in the `results`
22 | directory.
23 |
24 | The data analyses and simulations are still being added to this repository.
25 | They use Python 3.6 and the `Pipenv` package to manage dependencies.
--------------------------------------------------------------------------------
/analyses_simulations/.gitignore:
--------------------------------------------------------------------------------
1 | model_results
--------------------------------------------------------------------------------
/analyses_simulations/Pipfile:
--------------------------------------------------------------------------------
1 | [[source]]
2 | name = "pypi"
3 | url = "https://pypi.org/simple"
4 | verify_ssl = true
5 |
6 | [dev-packages]
7 |
8 | [packages]
9 | requests = "*"
10 | pystan = "*"
11 | numpy = "*"
12 | pandas = "*"
13 | numba = "*"
14 | scipy = "*"
15 | matplotlib = "*"
16 |
17 | [requires]
18 | python_version = "3.6"
19 |
--------------------------------------------------------------------------------
/analyses_simulations/fit_rlmodels_mcmc.py:
--------------------------------------------------------------------------------
1 | # This program is distributed in the hope that it will be useful,
2 | # but WITHOUT ANY WARRANTY; without even the implied warranty of
3 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
4 | # GNU General Public License for more details.
5 |
6 | # You should have received a copy of the GNU General Public License
7 | # along with this program. If not, see .
8 |
9 | """
10 | Fits the hybrid and model-based models to the three data sets using MCMC.
11 | """
12 |
13 | from os import mkdir
14 | from os.path import join, exists
15 | import utils
16 |
17 | WARMUP = 20000
18 | ITER = 40000
19 | CHAINS = 1
20 |
21 | def main():
22 | "Runs the model fitting for all data sets"
23 | hybrid_model = utils.get_stan_model(
24 | join(utils.MODELS_DIR, 'hybrid.stan'), join(utils.MODELS_DIR, 'hybrid.bin'))
25 | mb_model = utils.get_stan_model(
26 | join(utils.MODELS_DIR, 'model_based.stan'), join(utils.MODELS_DIR, 'model_based.bin'))
27 | if not exists(utils.MODEL_RESULTS_DIR):
28 | mkdir(utils.MODEL_RESULTS_DIR)
29 | for dsname, data_set in utils.load_data_sets():
30 | dsname = dsname.replace(' ', '_').lower()
31 | # Eliminate slow trials
32 | data_set = data_set[data_set.slow == 0]
33 | model_dat = {
34 | 's1': [],
35 | 'a1': [],
36 | 'a2': [],
37 | 's2': [],
38 | 'reward': [],
39 | 'N': len(data_set.participant.unique()),
40 | 'num_trials': [
41 | len(data_set[data_set.participant == part]) \
42 | for part in data_set.participant.unique()],
43 | }
44 | model_dat['T'] = max(model_dat['num_trials'])
45 | for i, part in enumerate(data_set.participant.unique()):
46 | part_info = data_set[data_set.participant == part]
47 | assert len(part_info) == model_dat['num_trials'][i]
48 | fill = [1]*(model_dat['T'] - len(part_info)) # Dummy data to fill the array
49 | model_dat['s1'].append(list(part_info.init_state) + fill)
50 | model_dat['s2'].append(list(part_info.final_state) + fill)
51 | model_dat['a1'].append(list(part_info.choice1) + fill)
52 | model_dat['a2'].append(list(part_info.choice2) + fill)
53 | model_dat['reward'].append(list(part_info.reward) + fill)
54 | for model_name, stan_model in (('hybrid', hybrid_model), ('model_based', mb_model)):
55 | flnm = f'{dsname}_{model_name}'
56 | results_flnm = join(utils.MODEL_RESULTS_DIR, flnm + '.txt')
57 | # Do not rerun the model if results already exist
58 | if not exists(results_flnm):
59 | fit = stan_model.sampling(
60 | data=model_dat, iter=ITER, chains=CHAINS,
61 | warmup=WARMUP, sample_file=join(utils.MODEL_RESULTS_DIR, flnm + '.csv'),
62 | refresh=10)
63 | with open(results_flnm, 'w') as fit_results_file:
64 | fit_results_file.write(str(fit))
65 |
66 | if __name__ == "__main__":
67 | main()
68 |
--------------------------------------------------------------------------------
/analyses_simulations/models/hybrid.stan:
--------------------------------------------------------------------------------
1 | functions {
2 | real[] hybrid(int T, int num_trials, int[] s1, int[] a1, int[] s2, int[] a2,
3 | int[] reward, real alpha1, real alpha2, real lmbd, real beta1,
4 | real beta2, real w, real p) {
5 |
6 | real log_lik[T];
7 | real q[4, 2];
8 | real v[2, 2];
9 |
10 | // Initializing values
11 | for (i in 1:4)
12 | for (j in 1:2)
13 | q[i, j] = 0;
14 | for (i in 1:2)
15 | for (j in 1:2)
16 | v[i, j] = 0;
17 |
18 | for (i in 1:T)
19 | log_lik[i] = 0;
20 |
21 | for (t in 1:num_trials) {
22 | real x1;
23 | real x2;
24 | x1 = // Model-based value
25 | w*0.4*(max(v[2]) - max(v[1])) +
26 | // Model-free value
27 | (1 - w)*(q[s1[t], 2] - q[s1[t], 1]);
28 | // Perseveration
29 | if (t > 1) {
30 | if (a1[t - 1] == 2)
31 | x1 += p;
32 | else
33 | x1 -= p;
34 | }
35 | // Exploration
36 | x1 *= beta1;
37 | // First stage choice
38 | if (a1[t] == 2)
39 | log_lik[t] += log_inv_logit(x1);
40 | else
41 | log_lik[t] += log1m_inv_logit(x1);
42 |
43 | // Second stage choice
44 | x2 = beta2*(v[s2[t], 2] - v[s2[t], 1]);
45 | if (a2[t] == 2)
46 | log_lik[t] += log_inv_logit(x2);
47 | else
48 | log_lik[t] += log1m_inv_logit(x2);
49 |
50 | // Learning
51 | q[s1[t], a1[t]] += alpha1*(v[s2[t], a2[t]] - q[s1[t], a1[t]]) +
52 | alpha1*lmbd*(reward[t] - v[s2[t], a2[t]]);
53 | v[s2[t], a2[t]] += alpha2*(reward[t] - v[s2[t], a2[t]]);
54 | }
55 | return log_lik;
56 | }
57 | }
58 | data {
59 | int N; // Number of participants
60 | int T; // Maximum number of trials
61 | int num_trials[N];
62 | int a1[N, T]; // First stage actions
63 | int a2[N, T]; // Second stage actions
64 | int s1[N, T]; // First stage states
65 | int s2[N, T]; // Second stage states
66 | int reward[N, T]; // Rewards
67 | }
68 | parameters {
69 | // Transformed model parameters
70 | vector[7] subjparams[N];
71 | cholesky_factor_corr[7] L_Omega;
72 | vector[7] tau;
73 | vector[7] mu;
74 | }
75 | transformed parameters {
76 | real alpha1[N];
77 | real alpha2[N];
78 | real lmbd[N];
79 | real beta1[N];
80 | real beta2[N];
81 | real w[N];
82 | real p[N];
83 | matrix[7, 7] Sigma;
84 | real log_lik[N, T];
85 | for (i in 1:N) {
86 | alpha1[i] = inv_logit(subjparams[i][1]);
87 | alpha2[i] = inv_logit(subjparams[i][2]);
88 | lmbd[i] = inv_logit(subjparams[i][3]);
89 | beta1[i] = exp(subjparams[i][4]);
90 | beta2[i] = exp(subjparams[i][5]);
91 | w[i] = inv_logit(subjparams[i][6]);
92 | p[i] = subjparams[i][7];
93 | }
94 | Sigma = diag_pre_multiply(tau, L_Omega);
95 | Sigma *= Sigma';
96 | for (i in 1:N)
97 | log_lik[i] = hybrid(T, num_trials[i], s1[i], a1[i], s2[i], a2[i], reward[i],
98 | alpha1[i], alpha2[i], lmbd[i], beta1[i], beta2[i],
99 | w[i], p[i]);
100 | }
101 | model {
102 | tau ~ cauchy(0, 1);
103 | mu ~ normal(0, 5);
104 | L_Omega ~ lkj_corr_cholesky(2);
105 | subjparams ~ multi_normal(mu, Sigma);
106 | for (i in 1:N)
107 | target += sum(log_lik[i]);
108 | }
109 |
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/analyses_simulations/models/hybrid_mistake.stan:
--------------------------------------------------------------------------------
1 | functions {
2 | real[] hybrid_mistake(int T, int num_trials, int[] a1, int[] s2, int[] a2,
3 | int[] reward, int[] stage1_config, real alpha1, real alpha2, real lmbd, real beta1,
4 | real beta2, real w, real p, real prob_mistake) {
5 |
6 | real log_lik[T];
7 | real q[2];
8 | real v[2, 2];
9 |
10 | // Initializing values
11 | for (i in 1:2)
12 | q[i] = 0;
13 | for (i in 1:2)
14 | for (j in 1:2)
15 | v[i, j] = 0;
16 |
17 | for (i in 1:T)
18 | log_lik[i] = 0;
19 |
20 | for (t in 1:num_trials) {
21 | real x1;
22 | real x2;
23 | x1 = // Model-based value
24 | w*0.4*(max(v[2]) - max(v[1])) +
25 | // Model-free value
26 | (1 - w)*(q[2] - q[1]);
27 | // Perseveration
28 | if (t > 1) {
29 | if (a1[t - 1] == 2)
30 | x1 += p;
31 | else
32 | x1 -= p;
33 | }
34 | // Exploration
35 | x1 *= beta1;
36 |
37 | // First stage choice
38 | if (a1[t] == 2)
39 | x1 *= -1;
40 | // Consider possibility of mistake
41 | if (t > 1 && stage1_config[t - 1] != stage1_config[t]) {
42 | log_lik[t] = log_sum_exp(
43 | log(1 - prob_mistake) + log_inv_logit(x1),
44 | log(prob_mistake) + log_inv_logit(-x1));
45 | }
46 | else
47 | log_lik[t] = log_inv_logit(x1);
48 |
49 | // Second stage choice
50 | x2 = beta2*(v[s2[t], 2] - v[s2[t], 1]);
51 | if (a2[t] == 2)
52 | log_lik[t] += log_inv_logit(x2);
53 | else
54 | log_lik[t] += log1m_inv_logit(x2);
55 |
56 | // Learning
57 | q[a1[t]] += alpha1*(v[s2[t], a2[t]] - q[a1[t]]) +
58 | alpha1*lmbd*(reward[t] - v[s2[t], a2[t]]);
59 | v[s2[t], a2[t]] += alpha2*(reward[t] - v[s2[t], a2[t]]);
60 | }
61 | return log_lik;
62 | }
63 | }
64 | data {
65 | int N; // Number of participants
66 | int T; // Maximum number of trials
67 | int num_trials[N];
68 | int a1[N, T]; // First stage actions
69 | int a2[N, T]; // Second stage actions
70 | int s1[N, T]; // Second stage states
71 | int s2[N, T]; // Second stage states
72 | int reward[N, T]; // Rewards
73 | int stage1_config [N, T]; // First-stage configuration regarding choices
74 | }
75 | parameters {
76 | // Transformed model parameters
77 | vector[8] subjparams[N];
78 | cholesky_factor_corr[8] L_Omega;
79 | vector[8] tau;
80 | vector[8] mu;
81 | }
82 | transformed parameters {
83 | real alpha1[N];
84 | real alpha2[N];
85 | real lmbd[N];
86 | real beta1[N];
87 | real beta2[N];
88 | real w[N];
89 | real p[N];
90 | real prob_mistake[N];
91 | matrix[8, 8] Sigma;
92 | real log_lik[N, T];
93 | for (i in 1:N) {
94 | alpha1[i] = inv_logit(subjparams[i][1]);
95 | alpha2[i] = inv_logit(subjparams[i][2]);
96 | lmbd[i] = inv_logit(subjparams[i][3]);
97 | beta1[i] = exp(subjparams[i][4]);
98 | beta2[i] = exp(subjparams[i][5]);
99 | w[i] = inv_logit(subjparams[i][6]);
100 | p[i] = subjparams[i][7];
101 | prob_mistake[i] = inv_logit(subjparams[i][8]);
102 | }
103 | Sigma = diag_pre_multiply(tau, L_Omega);
104 | Sigma *= Sigma';
105 | for (i in 1:N)
106 | log_lik[i] = hybrid_mistake(T, num_trials[i], a1[i], s2[i], a2[i], reward[i],
107 | stage1_config[i], alpha1[i], alpha2[i], lmbd[i], beta1[i], beta2[i],
108 | w[i], p[i], prob_mistake[i]);
109 | }
110 | model {
111 | tau ~ cauchy(0, 1);
112 | mu ~ normal(0, 5);
113 | L_Omega ~ lkj_corr_cholesky(2);
114 | subjparams ~ multi_normal(mu, Sigma);
115 | for (i in 1:N)
116 | target += sum(log_lik[i]);
117 | }
118 |
--------------------------------------------------------------------------------
/analyses_simulations/models/hybrid_no_log_lik.stan:
--------------------------------------------------------------------------------
1 | functions {
2 | real hybrid(int T, int[] a1, int[] s2, int[] a2,
3 | int[] reward, real alpha1, real alpha2, real lmbd, real beta1,
4 | real beta2, real w, real p) {
5 |
6 | real log_lik;
7 | real q[2];
8 | real v[2, 2];
9 |
10 | // Initializing values
11 | for (i in 1:2)
12 | q[i] = 0;
13 | for (i in 1:2)
14 | for (j in 1:2)
15 | v[i, j] = 0;
16 |
17 | log_lik = 0;
18 |
19 | for (t in 1:T) {
20 | real x1;
21 | real x2;
22 | x1 = // Model-based value
23 | w*0.4*(max(v[2]) - max(v[1])) +
24 | // Model-free value
25 | (1 - w)*(q[2] - q[1]);
26 | // Perseveration
27 | if (t > 1) {
28 | if (a1[t - 1] == 2)
29 | x1 += p;
30 | else
31 | x1 -= p;
32 | }
33 | // Exploration
34 | x1 *= beta1;
35 | // First stage choice
36 | if (a1[t] == 2)
37 | log_lik += log_inv_logit(x1);
38 | else
39 | log_lik += log1m_inv_logit(x1);
40 |
41 | // Second stage choice
42 | x2 = beta2*(v[s2[t], 2] - v[s2[t], 1]);
43 | if (a2[t] == 2)
44 | log_lik += log_inv_logit(x2);
45 | else
46 | log_lik += log1m_inv_logit(x2);
47 |
48 | // Learning
49 | q[a1[t]] += alpha1*(v[s2[t], a2[t]] - q[a1[t]]) +
50 | alpha1*lmbd*(reward[t] - v[s2[t], a2[t]]);
51 | v[s2[t], a2[t]] += alpha2*(reward[t] - v[s2[t], a2[t]]);
52 | }
53 | return log_lik;
54 | }
55 | }
56 | data {
57 | int T; // Number of trials
58 | int a1[T]; // First stage actions
59 | int a2[T]; // Second stage actions
60 | int s2[T]; // Second stage states
61 | int reward[T]; // Rewards
62 | }
63 | parameters {
64 | real alpha1;
65 | real alpha2;
66 | real lmbd;
67 | real beta1;
68 | real beta2;
69 | real w;
70 | real p;
71 | }
72 | model {
73 | beta1 ~ cauchy(0, 5);
74 | beta2 ~ cauchy(0, 5);
75 | p ~ cauchy(0, 1);
76 | target += hybrid(T, a1, s2, a2, reward,
77 | alpha1, alpha2, lmbd, beta1, beta2,
78 | w, p);
79 | }
80 |
--------------------------------------------------------------------------------
/analyses_simulations/models/logreg_model.stan:
--------------------------------------------------------------------------------
1 | data {
2 | int M; // number of participants
3 | int N; // number of trials per participant
4 | int K; // number of predictors
5 | int y[M,N]; // stay for each trial
6 | matrix[N,K] x[M]; // predictors for each trial
7 | }
8 | parameters {
9 | // Coefficients for each participants
10 | vector[K] coefs[M];
11 | // Distribution of coefficients
12 | cholesky_factor_corr[K] L_Omega;
13 | vector[K] tau;
14 | vector[K] mu;
15 | }
16 | transformed parameters {
17 | matrix[K, K] Sigma;
18 | Sigma = diag_pre_multiply(tau, L_Omega);
19 | Sigma *= Sigma';
20 | }
21 |
22 | model {
23 | tau ~ cauchy(0, 1);
24 | mu ~ normal(0, 5);
25 | L_Omega ~ lkj_corr_cholesky(2);
26 | coefs ~ multi_student_t(4, mu, Sigma);
27 | for (p in 1:M) {
28 | y[p] ~ bernoulli_logit(x[p] * coefs[p]);
29 | }
30 | }
31 |
32 | generated quantities {
33 | vector[K] grp;
34 | grp = coefs[1];
35 | for (p in 2:M)
36 | grp += coefs[p];
37 | grp /= 1.*M;
38 | }
39 |
--------------------------------------------------------------------------------
/analyses_simulations/models/model_based.stan:
--------------------------------------------------------------------------------
1 | functions {
2 | real[] model_based(int T, int num_trials, int[] a1, int[] s2, int[] a2,
3 | int[] reward, real alpha, real beta1, real beta2, real p) {
4 |
5 | real log_lik[T];
6 | real v[2, 2];
7 |
8 | // Initializing values
9 | for (i in 1:2)
10 | for (j in 1:2)
11 | v[i, j] = 0;
12 |
13 | for (i in 1:T)
14 | log_lik[i] = 0;
15 |
16 | for (t in 1:num_trials) {
17 | real x1;
18 | real x2;
19 | x1 = 0.4*(max(v[2]) - max(v[1]));
20 | // Perseveration
21 | if (t > 1) {
22 | if (a1[t - 1] == 2)
23 | x1 += p;
24 | else
25 | x1 -= p;
26 | }
27 | // Exploration
28 | x1 *= beta1;
29 | // First stage choice
30 | if (a1[t] == 2)
31 | log_lik[t] += log_inv_logit(x1);
32 | else
33 | log_lik[t] += log1m_inv_logit(x1);
34 |
35 | // Second stage choice
36 | x2 = beta2*(v[s2[t], 2] - v[s2[t], 1]);
37 | if (a2[t] == 2)
38 | log_lik[t] += log_inv_logit(x2);
39 | else
40 | log_lik[t] += log1m_inv_logit(x2);
41 |
42 | // Learning
43 | v[s2[t], a2[t]] += alpha*(reward[t] - v[s2[t], a2[t]]);
44 | }
45 | return log_lik;
46 | }
47 | }
48 | data {
49 | int N; // Number of participants
50 | int T; // Maximum number of trials
51 | int num_trials[N];
52 | int a1[N, T]; // First stage actions
53 | int a2[N, T]; // Second stage actions
54 | int s1[N, T]; // First stage states
55 | int s2[N, T]; // Second stage states
56 | int reward[N, T]; // Rewards
57 | }
58 | parameters {
59 | // Transformed model parameters
60 | vector[4] subjparams[N];
61 | cholesky_factor_corr[4] L_Omega;
62 | vector[4] tau;
63 | vector[4] mu;
64 | }
65 | transformed parameters {
66 | real alpha[N];
67 | real beta1[N];
68 | real beta2[N];
69 | real p[N];
70 | matrix[4, 4] Sigma;
71 | real log_lik[N, T];
72 | for (i in 1:N) {
73 | alpha[i] = inv_logit(subjparams[i][1]);
74 | beta1[i] = exp(subjparams[i][2]);
75 | beta2[i] = exp(subjparams[i][3]);
76 | p[i] = subjparams[i][4];
77 | }
78 | Sigma = diag_pre_multiply(tau, L_Omega);
79 | Sigma *= Sigma';
80 | for (i in 1:N)
81 | log_lik[i] = model_based(T, num_trials[i], a1[i], s2[i], a2[i], reward[i],
82 | alpha[i], beta1[i], beta2[i], p[i]);
83 | }
84 | model {
85 | tau ~ cauchy(0, 1);
86 | mu ~ normal(0, 5);
87 | L_Omega ~ lkj_corr_cholesky(2);
88 | subjparams ~ multi_normal(mu, Sigma);
89 | for (i in 1:N)
90 | target += sum(log_lik[i]);
91 | }
92 |
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/analyses_simulations/plots/.gitignore:
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1 | *.pdf
2 | *.png
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/analyses_simulations/results/.gitignore:
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1 | *.pickle
2 | *.csv
3 | *.txt
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/analyses_simulations/stay_probabilities_human_data.py:
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1 | # Copyright (C) 2019 Carolina Feher da Silva
2 |
3 | # This program is free software: you can redistribute it and/or modify
4 | # it under the terms of the GNU General Public License as published by
5 | # the Free Software Foundation, either version 3 of the License, or
6 | # (at your option) any later version.
7 |
8 | # This program is distributed in the hope that it will be useful,
9 | # but WITHOUT ANY WARRANTY; without even the implied warranty of
10 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
11 | # GNU General Public License for more details.
12 |
13 | # You should have received a copy of the GNU General Public License
14 | # along with this program. If not, see .
15 |
16 | """Calculates and plots stay probabilities for human participants."""
17 |
18 | from os.path import join
19 | import pandas as pd
20 | import numpy as np
21 | from scipy.special import expit
22 | import matplotlib.pyplot as plt
23 | from utils import load_stan_csv_chains, COLOR_COMMON, COLOR_RARE, PLOTS_DIR, hpd
24 | from logistic_regression_human_data import run_logreg_analyses,\
25 | get_logreg_results_filename, DATA_SET_NAMES
26 |
27 | # Number of samples to use in stay probability calculation
28 | # Not all are necessary (it makes no difference)
29 | NUM_SAMPLES_TO_ANALYZE = 10000
30 |
31 | def calc_stay_probs(samples):
32 | "Calculate stay probabilities from logistic regression samples"
33 | probs = [[] for i in range(4)]
34 | for _, sample in samples.sample(NUM_SAMPLES_TO_ANALYZE).iterrows():
35 | part = 1
36 | sample_probs = [[] for i in range(4)]
37 | while True:
38 | try:
39 | inter = sample['coefs.{}.1'.format(part)]
40 | rew = sample['coefs.{}.2'.format(part)]
41 | trans = sample['coefs.{}.3'.format(part)]
42 | rewxtrans = sample['coefs.{}.4'.format(part)]
43 | sample_probs[0].append(expit(inter + rew + trans + rewxtrans))
44 | sample_probs[1].append(expit(inter + rew - trans - rewxtrans))
45 | sample_probs[2].append(expit(inter - rew + trans - rewxtrans))
46 | sample_probs[3].append(expit(inter - rew - trans + rewxtrans))
47 | except KeyError:
48 | break
49 | else:
50 | part += 1
51 | for slist, problist in zip(sample_probs, probs):
52 | problist.append(np.mean(slist))
53 | return [pd.Series(problist) for problist in probs]
54 |
55 | def plot_stay_probs(probs, condition, legend):
56 | "Plots stay probabilities with error bars"
57 | y = [prob.median() for prob in probs]
58 | plt.title(condition)
59 | plt.ylim(0, 1)
60 | plt.bar((0, 2), (y[0], y[2]), color=COLOR_COMMON, label='Common')
61 | plt.bar((1, 3), (y[1], y[3]), color=COLOR_RARE, label='Rare')
62 | plt.xticks((0.5, 2.5), ('Rewarded', 'Unrewarded'))
63 | yerr = [[], []]
64 | for yy, prob_series in zip(y, probs):
65 | uplim, lolim = hpd(prob_series)
66 | yerr[0].append(yy - lolim)
67 | yerr[1].append(uplim - yy)
68 | plt.errorbar((0, 1, 2, 3), y, yerr, fmt='none', ecolor='black')
69 | plt.xlabel('Previous outcome')
70 | plt.ylabel('Stay probability')
71 | if legend:
72 | plt.legend(loc='best', title='Previous transition')
73 |
74 | def plot_all_stay_probs():
75 | "Calculates and plots stay probabilities for all human participant data sets"
76 | run_logreg_analyses()
77 | plt.figure(figsize=(3*4, 4))
78 | for num_plot, data_set_name in enumerate(DATA_SET_NAMES):
79 | samples = load_stan_csv_chains(get_logreg_results_filename(data_set_name, 'all'))
80 | stay_probs = calc_stay_probs(samples)
81 | plt.subplot(1, 3, num_plot + 1)
82 | plot_stay_probs(stay_probs, data_set_name, (num_plot == 0))
83 | plt.tight_layout()
84 | plt.savefig(join(PLOTS_DIR, 'human_stay_probabilities.pdf'))
85 | plt.close()
86 |
87 | if __name__ == "__main__":
88 | plot_all_stay_probs()
89 |
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/magic_carpet/.gitignore:
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1 | *.ttf
2 | results/*
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1 | ""
2 | game
3 |
4 | "The game is about to start. You will make [num_trials] flights to the mountains and get paid for every gold coin the genies give you."
5 | flight_[color_common1]-[color1]_[color2]
6 |
7 | "You will explore other mountains now: [color_common1] Mountain and [color_common2] Mountain. You have bought a new pair of magic carpets to take you there."
8 | flight_[color_common1]-[color1]_[color2]-wind
9 |
10 | "Your new carpets are shown below. One has been enchanted by a magician to fly to [color1] Mountain and the other to [color2] Mountain. The symbols written on the carpets mean “[color_common1] Mountain” and “[color_common2] Mountain.”"
11 | carpets
12 | tibetan.[isymbol2][isymbol1]
13 |
14 | "Sometimes your carpets will be on different sides of the room, because each time you want to use them, you take them out of a cupboard and might put them down in different positions."
15 | carpets
16 | tibetan.[isymbol1][isymbol2]
17 |
18 | "The carpets have also been upgraded to be completely self-driving. They will automatically try to fly to the mountain whose name is written on them, but if the wind is too dangerous, a safety procedure will be activated and the carpets will land on the other mountain."
19 | carpets
20 | tibetan.[isymbol2][isymbol1]
21 |
22 | "You have already tested your new self-driving carpets and they work perfectly. Because these flights are long and boring, you will now sleep through them and just wake up at your destination."
23 | nap
24 |
25 | "The carpets’ borders will immediately start to glow, and you have 2 seconds to select a carpet before they fly away without you."
26 | carpets_glow
27 | tibetan.[isymbol1][isymbol2]
28 |
29 | "After you select a carpet, the screen will briefly turn black, because you’ll be taking a nap and only wake up when you are already on one of the mountains."
30 | nap
31 |
32 | "During the game, you’ll have to figure out by yourself which symbol means “[color1] Mountain” and which means “[color2] Mountain.” This should be easy, because each carpet will land more often on the mountain whose name is written on it."
33 | carpets
34 | tibetan.[isymbol2][isymbol1]
35 |
36 | "For example, the carpet with the symbol that means “[color_common2] Mountain” will always try to land on [color_common2] Mountain, unless the wind forces it to land on [color_common1] Mountain, which happens more rarely."
37 | flight_[color_common2]-[color1]_[color2]
38 |
39 | "The wind blows unpredictably and is equally likely to blow near both mountains. You can never predict when it will start or stop."
40 | flight_[color_common1]-[color1]_[color2]-wind
41 |
42 | "During a flight, you won’t see the wind blowing because you’ll be sleeping comfortably on your self-driving carpet."
43 | nap
44 |
45 | "On a mountain, the lamps will immediately start to glow, and you should press the left or right arrow key to choose a lamp."
46 | lamps_[color_common1]
47 | tibetan.[fsymbol11][fsymbol12]
48 |
49 | "Each lamp has the name of the genie that lives inside it written on it."
50 | lamps_[color_common1]
51 | tibetan.[fsymbol11][fsymbol12]
52 | left_lamp_symbol
53 | right_lamp_symbol
54 |
55 | "The same lamp will be sometimes on the left and sometimes on the right, because each time you pick up a lamp to rub it you might put it down later in a different place."
56 | lamps_[color_common1]
57 | tibetan.[fsymbol12][fsymbol11]
58 |
59 | "You must decide quickly which lamp you’re going to rub. If you take more than 2 seconds to make your choice, the genies will assume there won’t be any music and go to sleep."
60 | lamps_[color_common1]
61 | slow2
62 |
63 | "Remember that when a genie is currently interested in music, he’ll probably come out of his lamp and give you a coin."
64 | genie_coin
65 | reward_[color_common1]
66 | tibetan.[fsymbol11]
67 |
68 | "But when a genie isn’t very interested in music, he’ll tend to stay inside his lamp."
69 | genie_zero
70 | reward_[color_common1]
71 | tibetan.[fsymbol12]
72 |
73 | "It is hard to tell how interested in music each genie currently is, but if a genie will often come out of his lamp to listen to your songs, he is probably interested."
74 | genie_coin
75 | reward_[color_common2]
76 | tibetan.[fsymbol21]
77 |
78 | "Each genie may be more or less interested in music, and their interest may change with time."
79 | lamps_[color_common2]
80 | tibetan.[fsymbol22][fsymbol21]
81 |
82 | "Each gold coin the genies give you is worth CHF 0.37 in our world. Good luck getting them!"
83 | genie_coin
84 | reward_[color_common2]
85 | tibetan.[fsymbol21]
86 |
87 | "If the word BREAK appears on the screen, you can take a short break before continuing the game."
88 | break_instructions
89 |
90 | "You can start the game now by pressing space or you can press left to go back to these instructions."
91 | flight_[color_common1]-[color1]_[color2]
92 | space
93 |
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/magic_carpet/assets/quiz.py:
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1 | (
2 | (
3 | "Which mountain is more likely to be windy?",
4 | """
5 | (a) Both mountains are equally likely to be windy.
6 | (b) [color_common2] mountain.
7 | (c) [color_common1] mountain.
8 | """,
9 | 'a',
10 | 'c'
11 | ),
12 | (
13 | "Which carpet is more likely to experience strong wind?",
14 | """
15 | (a) The carpet enchanted to go to [color_common1] mountain.
16 | (b) The carpet enchanted to go to [color_common2] mountain.
17 | (c) Either carpet is equally likely to experience strong wind.
18 | """,
19 | 'c',
20 | 'c'
21 | ),
22 | (
23 | "Which carpet is more likely to go to [color_common2] Mountain?",
24 | """
25 | (a) The carpet on the left.
26 | (b) The carpet with the symbol that means “[color_common2] Mountain” written on it.
27 | (c) The carpet on the right.
28 | """,
29 | 'b',
30 | 'c'
31 | ),
32 | (
33 | "Where are you more likely to get a gold coin?",
34 | """
35 | (a) On [color_common2] Mountain.
36 | (b) It depends on each genie’s interest in music.
37 | (c) On [color_common1] Mountain.
38 | """,
39 | 'b',
40 | 'c'
41 | ),
42 | (
43 | "How can you tell when a genie is interested in music?",
44 | """
45 | (a) When a genie is interested in music, he looks different.
46 | (b) When a genie is interested in music, his lamp glows brighter.
47 | (c) Genies that are more interested in music will often come out of their lamps and listen to a song.
48 | """,
49 | 'c',
50 | 'c'
51 | ),
52 | (
53 | "How does a genie’s interest in music affect the other genies?",
54 | """
55 | (a) When one genie on a mountain is interested in music, the other one isn’t.
56 | (b) Each genie has his own interests and one genie’s interest in music doesn’t affect the other genies.
57 | (c) When one genie on a mountain is interested in music, the other one is too.
58 | """,
59 | 'b',
60 | 'c'
61 | ),
62 | (
63 | "How does the wind affect the genies’ interest in music?",
64 | """
65 | (a) Genies are more interested in music on windy days.
66 | (b) Genies live inside lamps, so they don’t care about the wind outside.
67 | (c) Genies are more interested in music on days without wind.
68 | """,
69 | 'b',
70 | 'c'
71 | ),
72 | )
73 |
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/magic_carpet/assets/tutorial_flights_instructions.txt:
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1 | "You have finished the quiz. Before the game starts, you will do [num_trials] tutorial flights to the mountains."
2 | flight_[color_common2]-[color1]_[color2]
3 |
4 | "To guide you through the tutorial flights, helpful messages will appear on the screen during the first few flights. Please read them carefully, because later on they will no longer appear."
5 | flight_[color_common2]-[color1]_[color2]-wind
6 |
7 | "Press space now to start the tutorial flights."
8 | flight_[color_common1]-[color1]_[color2]
9 | space
10 |
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/results/magic_carpet/choices/01085_config.txt:
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1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
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/results/magic_carpet/choices/03187_config.txt:
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1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
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/results/magic_carpet/choices/04862_config.txt:
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1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
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/results/magic_carpet/choices/04862_tutorial.csv:
--------------------------------------------------------------------------------
1 | trial,common,reward.1.1,reward.1.2,reward.2.1,reward.2.2,isymbol_lft,isymbol_rgt,rt1,choice1,final_state,fsymbol_lft,fsymbol_rgt,rt2,choice2,reward,slow
2 | 0,1,0.4768135489405668,0.654086614842504,0.627225505340723,0.5798517854401155,2,1,0.37474839923379477,2,2,1,2,0.4523654999957216,2,0,0
3 | 1,1,0.4926443265971361,0.678530285780383,0.5994460362131138,0.5804937970727266,2,1,0.3230490450941943,2,2,1,2,0.7901208891121314,1,1,0
4 | 2,0,0.4817145042004034,0.6640424627295438,0.5737756874186846,0.6103440117770276,2,1,0.2947813141076949,2,1,2,1,0.3575846084927434,2,1,0
5 | 3,1,0.47815263757156035,0.6618181325419461,0.5862508012474208,0.6390644516543171,1,2,0.9758076882676505,1,1,2,1,0.30709571514989875,2,0,0
6 | 4,0,0.45986896746413675,0.6614084528406141,0.6056679926942007,0.6674528361520828,1,2,0.3253434871171521,1,2,1,2,0.31880669695738106,1,1,0
7 | 5,1,0.48195224605560266,0.6982137601527335,0.6296418193901318,0.6158465126963506,1,2,0.5024342034562324,1,1,1,2,0.30290951307461,1,1,0
8 | 6,0,0.5155648450272722,0.7023850353837942,0.6354297213679979,0.5857285342788481,2,1,0.36909877722337114,1,2,1,2,0.3973124751719297,2,1,0
9 | 7,0,0.5393459669643133,0.7125758253640314,0.6230792524909816,0.576505471178191,2,1,0.4129391920037051,2,1,1,2,0.3157406993746008,1,0,0
10 | 8,1,0.5268193955950919,0.7139641348627658,0.6112720448664224,0.5667531683879357,2,1,0.8033055541136491,2,2,1,2,0.47856005274115887,1,1,0
11 | 9,1,0.5431623989334591,0.7412738366148152,0.6270738842666702,0.5477063825317168,2,1,0.5102119423277145,2,2,1,2,0.0599633903530048,1,1,0
12 | 10,0,0.5563477823913429,0.7415686957272197,0.6551639253306036,0.5132933031116571,2,1,1.0388062864271888,2,1,1,2,1.75837904508262,1,0,0
13 | 11,1,0.5753781978742641,0.7314263067588676,0.6322236610867444,0.5045070511674035,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
14 | 12,1,0.5999910873764618,0.7415847910453458,0.6308911774618715,0.4861438688478652,1,2,0.3064545633465059,1,1,2,1,0.9697897963892501,1,0,0
15 | 13,1,0.5463144714458954,0.7307383195089661,0.6282722997074699,0.4841186494730305,1,2,0.7409945942813465,2,2,1,2,0.9324113103521086,1,1,0
16 | 14,1,0.5714703994061181,0.7163425566957122,0.6248495306375788,0.4509562329615111,2,1,0.5941801890130591,2,2,2,1,0.6283106555570157,1,1,0
17 | 15,1,0.5572419081020352,0.7187521971354508,0.5624771230991308,0.4572011266356881,2,1,0.684644172823937,2,2,1,2,0.5640572231000078,1,0,0
18 | 16,1,0.5566011115575469,0.7339720499743562,0.5683199316990893,0.4588299566202015,2,1,0.35645957423139407,2,2,1,2,0.5370823608395767,2,0,0
19 | 17,0,0.5426019776012714,0.7197695276030454,0.5195934182525597,0.4575143830142876,1,2,0.8653852887655376,1,2,1,2,0.5875890639545105,1,0,0
20 | 18,1,0.5028254472938367,0.674126156546849,0.5023201480533594,0.47952655795984356,1,2,0.5692036435775663,1,1,2,1,1.4299405817700972,1,1,0
21 | 19,0,0.5022059986451031,0.6636735032127647,0.5147878983581123,0.5016426184956689,1,2,0.7025659353994342,1,2,2,1,1.8247135041542606,1,0,0
22 | 20,0,0.48957604309191427,0.6538980541005064,0.496238359997637,0.507585504727094,1,2,0.7375168589114764,1,2,2,1,0.6916455263663011,2,1,0
23 | 21,0,0.4820736705081172,0.655765172165559,0.42880184742985206,0.47225433795809724,2,1,0.8360562160933114,1,2,1,2,0.6808905369134663,1,1,0
24 | 22,0,0.47206644374391105,0.6688608704378883,0.4521176803798236,0.48077329271577196,1,2,0.830533073652532,2,1,1,2,1.595339031655385,1,1,0
25 | 23,1,0.4600863373764854,0.692382101665794,0.481577340879103,0.4665942963483647,1,2,0.702801386626561,1,1,2,1,0.8542547847914648,1,0,0
26 | 24,1,0.5045234573181291,0.7070265990672786,0.518837931543727,0.475263614715399,2,1,0.7880268824928862,1,1,1,2,0.6594949631548843,2,1,0
27 | 25,0,0.5130932137543223,0.7052461566753199,0.526115219117844,0.48451288402052867,1,2,1.0491709701918808,1,2,2,1,1.3447322919546423,1,0,0
28 | 26,1,0.45802991140983673,0.6812808485660349,0.5417550615490111,0.46774043837113055,1,2,0.6440656631211823,2,2,1,2,1.0674585877518439,2,0,0
29 | 27,0,0.4636511279608554,0.666205120238013,0.5431416479728962,0.4694883468438422,2,1,0.5666287731060038,1,2,2,1,0.6540463802693921,2,0,0
30 | 28,1,0.49493223349549126,0.6767346039309533,0.55966424563655,0.4616077258137805,2,1,0.39839162663020034,1,1,1,2,0.9097104915858836,1,1,0
31 | 29,1,0.48265574040889114,0.674559698161389,0.5632138729821373,0.5093170884932295,2,1,0.7635085613692354,1,1,2,1,0.7682939566311688,1,0,0
32 | 30,0,0.48160278627438835,0.6981568692943112,0.557015783993593,0.5044616636080557,2,1,0.5367140909711452,1,2,2,1,1.2987625528708122,1,1,0
33 | 31,0,0.4738117485388793,0.6915455376310784,0.5637393196728596,0.4894365826446405,2,1,1.1019872083575137,1,2,2,1,0.9976038309723663,1,0,0
34 | 32,0,0.44824785018670044,0.687847507582938,0.5797912931359097,0.5097240990892908,2,1,0.752767759361177,1,2,1,2,1.3496393370173791,1,1,0
35 | 33,0,0.43298177671611393,0.6430205716232955,0.6006968771109635,0.5027125328645141,2,1,0.7635758762712612,2,1,2,1,0.8269729303533495,1,1,0
36 | 34,1,0.4357217884081058,0.6472516564849815,0.5962966770870453,0.5063322818351618,1,2,1.0008017416148505,1,1,1,2,0.7443075137921369,1,1,0
37 | 35,1,0.3977750090795513,0.5910904919811042,0.6067904721229584,0.5076574850675819,1,2,0.6460389255212249,1,1,1,2,0.7015073104589646,1,0,0
38 | 36,0,0.37685065879091395,0.5915180349773603,0.6077797589088564,0.49167398067700563,2,1,0.6084760026901677,1,2,1,2,0.9358908568851803,2,1,0
39 | 37,1,0.34665469568390916,0.5737897249007888,0.5891014427904411,0.5072099145263572,1,2,0.5630779874836662,2,2,1,2,0.503858683380713,2,0,0
40 | 38,1,0.3239820909832416,0.5221112027697234,0.6189682628919455,0.5264075414555284,1,2,0.8693982228865025,2,2,1,2,0.4182712567176168,1,0,0
41 | 39,1,0.3790528647463718,0.5498665122585898,0.633410338265938,0.5069402511314607,1,2,0.7012621996937014,1,1,1,2,0.916643020923857,2,1,0
42 | 40,1,0.39654274586206306,0.6169352601881081,0.6582568860464384,0.4865691989881191,2,1,0.47980130331279724,1,1,2,1,-1,-1,0,1
43 | 41,0,0.440847237989449,0.6100534968112541,0.6990980296818453,0.4903202742339064,2,1,0.48516476152417454,1,2,2,1,0.7832091881523411,1,1,0
44 | 42,0,0.45753577328128087,0.6212140744850463,0.6909781745360708,0.5142336715458108,1,2,0.8929466660711114,1,2,2,1,0.6604295234105848,1,1,0
45 | 43,1,0.49270028817457545,0.629255635591854,0.7047242845301871,0.532336297177136,1,2,0.4848372428300536,1,1,1,2,0.8575456684820892,1,1,0
46 | 44,1,0.5364481546213077,0.6154844141204516,0.6915255979832127,0.5842104901034563,2,1,0.5140120647624826,1,1,1,2,1.014718418443863,1,1,0
47 | 45,1,0.5120160128781777,0.6070774575611257,0.7302391501235305,0.5574489523525936,2,1,0.9031607214224096,1,1,2,1,0.8333361506984147,2,1,0
48 | 46,1,0.49098656749366887,0.6481283251650125,0.7233409802515689,0.578288797622614,2,1,0.6497717330539672,1,1,2,1,0.5371665799316361,2,1,0
49 | 47,0,0.5042045846805248,0.6007909272711596,0.7460533391727578,0.5828820063003132,2,1,0.4495159364259962,1,2,2,1,0.552847027941425,2,1,0
50 | 48,0,0.4765479225810829,0.6127980697600793,0.7369689662425021,0.5943296483459208,2,1,0.566531875869714,2,1,1,2,0.520610132613001,2,1,0
51 | 49,1,0.4741183860012588,0.6206857186716517,0.7143866563310914,0.57269927102594,1,2,0.6649127562645845,1,1,2,1,0.6270132589229434,2,1,0
52 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/04936_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/04960_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/04960_tutorial.csv:
--------------------------------------------------------------------------------
1 | trial,common,reward.1.1,reward.1.2,reward.2.1,reward.2.2,isymbol_lft,isymbol_rgt,rt1,choice1,final_state,fsymbol_lft,fsymbol_rgt,rt2,choice2,reward,slow
2 | 0,1,0.2897317595070934,0.26206786560999007,0.7097194854817288,0.4137945795843255,2,1,0.6765712143364908,2,2,2,1,-1,-1,0,1
3 | 1,1,0.29983443851614167,0.3141416010941714,0.7024762807293059,0.443874175415791,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
4 | 2,0,0.3176792278682862,0.30665879919965877,0.7155959705933048,0.46149437003558746,1,2,0.36743039397651955,1,2,1,2,1.47611618974679,2,0,0
5 | 3,0,0.3570450134137408,0.3230045891900805,0.6846936243222879,0.46108324315330385,1,2,0.2677741527681974,2,1,1,2,0.3097391079654699,1,1,0
6 | 4,1,0.37434289964644896,0.34230025489464394,0.6805502034881714,0.4556836438422742,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
7 | 5,1,0.40769449575377253,0.37171239688848073,0.667392884468144,0.4306849238296544,2,1,0.42537584656793115,1,1,1,2,-1,-1,0,1
8 | 6,0,0.4060472662943646,0.3769878033453287,0.6198994462721918,0.4451034705151641,1,2,0.7112136363689388,1,2,1,2,0.793084555969017,1,1,0
9 | 7,1,0.43008748356942506,0.3762066838019773,0.6255253610162756,0.4934935600343059,1,2,0.030519912532781746,2,2,1,2,0.3189866058437474,1,1,0
10 | 8,0,0.41655375934744576,0.3619323974115871,0.6204112777755406,0.48144574868371537,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
11 | 9,1,0.42395306669104166,0.33391820221635626,0.6347236291259928,0.45898642127117806,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
12 | 10,0,0.43426052661344083,0.3744787144727336,0.646287230267882,0.4324614821117376,2,1,0.5805394127241925,2,1,1,2,0.12094042842454655,1,0,0
13 | 11,1,0.4517551196549059,0.35771130672416085,0.6739868162484588,0.4188698291118502,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
14 | 12,1,0.4453391569562295,0.3209860610089934,0.6740402664185174,0.40803910589563275,2,1,0.16621709569108134,1,1,2,1,1.4709380739122935,2,0,0
15 | 13,0,0.4551575312466955,0.3285971948632152,0.7072439157699595,0.39807136919817365,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
16 | 14,0,0.42638824065063696,0.332561592619517,0.7343887057737436,0.3904900230040802,2,1,0.5273063051422469,1,2,1,2,1.1052231534285966,1,1,0
17 | 15,1,0.4764046745163651,0.32719231197320475,0.7483742901746532,0.36950585038202144,1,2,1.337299579689443,2,2,1,2,-1,-1,0,1
18 | 16,1,0.4580463247740585,0.3048116665199545,0.719072215156907,0.40683361274934476,1,2,1.0398486108979341,2,2,2,1,1.9740312389444625,2,1,0
19 | 17,1,0.4170094429866089,0.3061630926175899,0.6970458400540509,0.438446792757812,1,2,0.13449517445724268,2,2,2,1,1.1430052270170563,2,0,0
20 | 18,1,0.43785089861273246,0.3157327976252975,0.7258732438141815,0.4551703468257293,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
21 | 19,1,0.4589788232961216,0.3293492527357682,0.675099661551005,0.4207036961210937,2,1,1.7167328546229328,2,2,2,1,1.8484255557555116,1,0,0
22 | 20,1,0.4272939015941237,0.31073494753809383,0.6587431180598429,0.4226767865775616,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
23 | 21,1,0.4026676281188346,0.3215223002821914,0.6404154753557108,0.45262010543865094,2,1,1.2743196968840493,2,2,2,1,-1,-1,0,1
24 | 22,1,0.3883731545157607,0.308818625471716,0.6177904450472942,0.4657149624567693,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
25 | 23,1,0.33413562517425577,0.314428620658112,0.5489647108697286,0.4391034865189598,2,1,0.6702064846890607,2,2,1,2,1.3442598801975691,2,0,0
26 | 24,1,0.3293294303616454,0.2587167997597224,0.523642058747454,0.43940341892611584,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
27 | 25,1,0.3312193234897358,0.29526642780615187,0.53189772910356,0.4611215515553357,2,1,0.5191536554707454,2,2,2,1,-1,-1,0,1
28 | 26,1,0.3224448525981112,0.25692878074046255,0.5398934753704062,0.43027461805951317,1,2,0.498050886443707,1,1,1,2,1.5054470735826726,1,0,0
29 | 27,1,0.39140771936868146,0.2572715592686641,0.559556011451449,0.42281237193346577,1,2,0.7595771295959821,2,2,2,1,0.7725103447610309,2,1,0
30 | 28,0,0.36938805923501095,0.27123135082163263,0.5380878105488898,0.4064258508397969,1,2,0.46367379983257706,2,1,1,2,1.017745777876371,2,1,0
31 | 29,1,0.39761234583317556,0.27981958609429947,0.5230839802390828,0.43977313680924857,2,1,0.8130964009774289,1,1,1,2,0.8499291231437383,2,0,0
32 | 30,1,0.38146857246060617,0.3226924402030932,0.48255169846375034,0.40857534849215793,2,1,0.8585396952657902,1,1,2,1,0.932761468588069,2,1,0
33 | 31,1,0.3604943966855989,0.2716932187204977,0.4308180678627651,0.3849756456932625,1,2,1.5439973822649335,1,1,1,2,0.8744088061175717,2,0,0
34 | 32,1,0.2894432368495399,0.27052241502038665,0.4541771522666274,0.370905673737687,2,1,0.7443322663571053,1,1,2,1,1.0824885262804855,1,1,0
35 | 33,0,0.31939130340051264,0.2664513691358399,0.4234372679534597,0.35838606509799775,1,2,0.92585459739621,1,2,2,1,1.9734498555294522,1,0,0
36 | 34,1,0.31366092103774124,0.253535605942139,0.3837036309355346,0.34755075800803215,1,2,0.8037553263293375,1,1,1,2,-1,-1,0,1
37 | 35,0,0.30748994096935367,0.2503882005402127,0.3968290789717957,0.36047380194170064,2,1,0.8334934200438511,1,2,2,1,0.9903966085362299,2,0,0
38 | 36,1,0.322461359690099,0.2663528132446987,0.3624248018331093,0.3662314996257635,1,2,0.7003167724583363,1,1,2,1,0.6677931096105567,1,1,0
39 | 37,1,0.28720804863134863,0.25372939623395974,0.3241474617778688,0.3766923693364719,1,2,0.8842654585805576,1,1,2,1,-1,-1,0,1
40 | 38,1,0.2559187947065866,0.2763992354750813,0.33718434097644534,0.4102684208402518,1,2,0.42597232301022814,1,1,1,2,-1,-1,0,1
41 | 39,1,0.2678271065148228,0.2642303981973668,0.3195095291904262,0.4095687326698334,2,1,0.5648064409797371,2,2,2,1,-1,-1,0,1
42 | 40,1,0.2549284105240335,0.2822065255793146,0.3293249820750646,0.35397783296945473,1,2,0.5757470746693798,1,1,2,1,0.6365420908309716,1,0,0
43 | 41,1,0.30556546175460675,0.2823103193214695,0.3277650623846313,0.3767515284481977,1,2,1.2929873568727999,2,2,1,2,-1,-1,0,1
44 | 42,1,0.29118568873814343,0.319271452379594,0.32287758485748586,0.37435486245459804,1,2,0.2588596070741005,1,1,1,2,1.514200425744093,1,1,0
45 | 43,1,0.2853634090285113,0.3117297691872487,0.3674502885885236,0.3800922421407647,2,1,0.9176741765545557,2,2,2,1,1.591936761422403,1,0,0
46 | 44,0,0.315426183779402,0.34146070462790884,0.3578692815001361,0.41038316953304943,1,2,1.4141339560515007,2,1,1,2,-1,-1,0,1
47 | 45,1,0.3523356051071127,0.34443887333587725,0.367176695226125,0.400091497232995,2,1,0.9906619439580027,2,2,2,1,-1,-1,0,1
48 | 46,0,0.3551821696014992,0.3306111059608159,0.38096701068998556,0.46248376468593266,2,1,1.0497227712726271,1,2,1,2,0.601416691922168,2,0,0
49 | 47,0,0.32952690953777486,0.3666235385792311,0.4131142196599753,0.45181536191983196,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
50 | 48,0,0.32173376129998754,0.3742620043803036,0.41122795787329447,0.46622189180285506,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
51 | 49,1,0.3200212743220039,0.3371414523814382,0.44972287867088606,0.4641259228241936,1,2,1.8033088745796704,2,2,1,2,1.9846974813963243,2,0,0
52 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/09695_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/10951_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/16691_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/17946_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (5, 6); 2 -> blue -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/19223_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/23849_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/26949_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/27722_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (5, 6); 2 -> blue -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/31133_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/33765_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/35102_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/35102_tutorial.csv:
--------------------------------------------------------------------------------
1 | trial,common,reward.1.1,reward.1.2,reward.2.1,reward.2.2,isymbol_lft,isymbol_rgt,rt1,choice1,final_state,fsymbol_lft,fsymbol_rgt,rt2,choice2,reward,slow
2 | 0,1,0.3614267556748786,0.6002377577387555,0.3759193616366566,0.46746182674525977,1,2,0.39434934825249,1,1,1,2,0.521241637703497,1,0,0
3 | 1,1,0.34784046817361336,0.5754685270797522,0.39765307860243737,0.46766395413560236,2,1,0.7457505555744319,2,2,1,2,0.7260514262015931,1,1,0
4 | 2,0,0.3281740280889016,0.5823367321897851,0.3955504707967683,0.4196335093527235,2,1,0.5172211546409926,2,1,1,2,0.5086718550487603,2,1,0
5 | 3,1,0.35987048464766425,0.5674241996921168,0.42596220999100276,0.4004919440036643,2,1,0.5195186166570238,1,1,1,2,0.4537138831183256,2,1,0
6 | 4,0,0.33835450456532334,0.5610617824128186,0.4279023075776207,0.4013578193598341,1,2,0.5552453433451774,2,1,1,2,0.48006873972553876,1,1,0
7 | 5,1,0.3957256969148487,0.5533800443497117,0.42591239850780194,0.3959278573293896,2,1,0.4269817005988443,2,2,1,2,0.38513716249690333,2,0,0
8 | 6,1,0.42194157113479236,0.5726168686143953,0.4444630684969427,0.3779970023227661,2,1,0.5612427123273847,2,2,2,1,0.4502240712195089,2,0,0
9 | 7,0,0.4529616677343747,0.612304172514977,0.4420642282410123,0.34390052143426253,2,1,1.5303351921916146,2,1,2,1,0.4475197009405747,2,1,0
10 | 8,1,0.4939015171251623,0.5858149683398759,0.4881889982526559,0.334253960070487,1,2,0.5090253339635638,2,2,2,1,0.45124315304383344,2,0,0
11 | 9,1,0.4855586879163769,0.5971500254589504,0.4634592375638307,0.3483646044866364,2,1,0.4354905508535012,2,2,2,1,0.42569396272483573,1,0,0
12 | 10,1,0.4940501637123962,0.5768832538543442,0.4063883113186111,0.313698795233494,1,2,1.4289048553091561,2,2,2,1,0.8928847199908887,2,0,0
13 | 11,1,0.471639834067092,0.5962604648066333,0.4454483061906792,0.2965431625211634,2,1,0.7015113563024897,1,1,1,2,1.098434670998813,1,0,0
14 | 12,0,0.45655633549192953,0.6121549935831821,0.43172045139016335,0.31589590054723204,1,2,0.9792229259601299,1,2,1,2,1.1736556481459957,1,1,0
15 | 13,1,0.45985780493911776,0.5926911352257327,0.4488923792091895,0.3171008471788719,1,2,0.7051086306209982,1,1,2,1,1.5366362330682932,2,1,0
16 | 14,1,0.5090065003066292,0.5981066212894022,0.4422943809838047,0.3038604726261589,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
17 | 15,0,0.5093826395313569,0.5877195525114951,0.4401482419641589,0.2534356833209439,2,1,0.5385119956436029,1,2,2,1,0.9406934223943608,1,0,0
18 | 16,0,0.559391815772897,0.5848232758476559,0.4610507629573992,0.26546481445952774,2,1,0.4721458011476898,2,1,2,1,0.8715929734066776,2,1,0
19 | 17,1,0.5341441192018819,0.5626588600477471,0.45136691480801217,0.30175748861268636,1,2,0.9362624087398217,1,1,1,2,1.3812860233047104,1,1,0
20 | 18,1,0.540182368176309,0.5134894389900619,0.40306701064500894,0.32637418087622466,2,1,0.6888000009662392,1,1,2,1,0.9524421438632089,1,1,0
21 | 19,1,0.5541589404835497,0.5351108019606122,0.3812673028845901,0.34964912272077364,2,1,0.4971570756456458,2,2,1,2,0.6220066735372711,1,1,0
22 | 20,1,0.557770963629892,0.5684971183517109,0.4079635369525044,0.3128614690595848,2,1,0.6919221464954717,2,2,1,2,0.9688105419427302,1,1,0
23 | 21,1,0.5469318154280138,0.5877296650522347,0.4296957371557686,0.2738486688446926,1,2,0.6949132844679298,2,2,2,1,0.9264736689906385,1,0,0
24 | 22,1,0.607770580101445,0.5963597171731418,0.4131785902350613,0.3044640737197045,1,2,0.5618458300659768,2,2,2,1,0.7347570896517936,2,1,0
25 | 23,1,0.588565770568183,0.610683983603989,0.39000527346181646,0.31859281655514493,2,1,0.7539693176677247,2,2,2,1,0.7429574382408646,2,0,0
26 | 24,1,0.6056591448935303,0.6290709428626726,0.38675880642240656,0.2757233366856575,1,2,0.8449220686156877,2,2,1,2,0.7325556193486591,2,0,0
27 | 25,0,0.6048420618720942,0.6271231188113284,0.37924592902452225,0.2834071352001471,2,1,1.039829014008319,2,1,1,2,1.5835550500391946,1,1,0
28 | 26,1,0.6076649428034426,0.6205644666772678,0.33512941103942895,0.3184559531412816,2,1,0.6776948465735586,1,1,1,2,0.9841966852068254,2,1,0
29 | 27,1,0.6312828239488073,0.6430145199265885,0.34087347399399615,0.3152255185282893,2,1,0.8061568118196192,2,2,1,2,0.5791943699350668,1,0,0
30 | 28,1,0.6226498564416647,0.6294518764113968,0.3290739318958278,0.2615230548232179,2,1,0.6650399391933206,2,2,1,2,1.1553022139069071,2,0,0
31 | 29,1,0.6767830980627163,0.5984022985679327,0.362963132487898,0.28486896235099923,1,2,0.6707595963039239,1,1,2,1,1.0090126558129668,2,1,0
32 | 30,1,0.6912577405955026,0.6106544506850496,0.36429174349659793,0.2709986258049617,1,2,1.015087301141648,1,1,1,2,1.0228230860675467,1,1,0
33 | 31,1,0.7085364716920539,0.5942290517636373,0.36142174910545655,0.29545187775215426,2,1,0.9195000824079216,1,1,2,1,1.2045501882707867,2,1,0
34 | 32,0,0.7044916266103334,0.585131851992577,0.35866609138889327,0.2991037960343078,2,1,0.6480406521882287,1,2,2,1,1.0636346567507644,1,0,0
35 | 33,0,0.6974618773509516,0.5679664675365217,0.3830380933617821,0.3050666176555939,1,2,0.7043645439216561,1,2,2,1,0.696028961725915,2,0,0
36 | 34,1,0.6789071845698562,0.5552616684423666,0.3696779824523406,0.2911332588842426,1,2,0.859190119736013,1,1,1,2,1.392230889649909,1,1,0
37 | 35,1,0.6613593039163634,0.5397680308414565,0.39895702167301267,0.28610730108999594,2,1,0.7424436712785791,1,1,1,2,1.1207086723984503,2,1,0
38 | 36,1,0.6435746027069142,0.560018750892471,0.340961532382259,0.30973772806300226,1,2,0.841560547527024,1,1,2,1,1.278449015420847,2,1,0
39 | 37,1,0.6097582874291314,0.5507930902966778,0.3187641217587558,0.2713767178372559,2,1,1.2819964827190233,2,2,1,2,0.8977691284617322,2,1,0
40 | 38,1,0.6055733521027578,0.5607898451221117,0.3072392818726539,0.28057212866180953,1,2,0.7384645431366152,1,1,1,2,1.3087618699182713,1,1,0
41 | 39,1,0.6474307213938914,0.5326625464943073,0.26139398549115733,0.26810353888828464,1,2,0.8376001347505735,1,1,1,2,0.98657051798682,2,0,0
42 | 40,1,0.6399638862650534,0.5309515257086159,0.27982772378494847,0.28099009755683313,2,1,1.0246454192933925,2,2,1,2,1.2163662246821332,2,0,0
43 | 41,0,0.6281683872953385,0.5769862804752309,0.28077008111222146,0.2619477802939931,2,1,0.5398395791335133,1,2,2,1,-1,-1,0,1
44 | 42,1,0.6105035289439915,0.5933054872580958,0.2772091479684331,0.29752077840315877,2,1,1.1749850428013815,2,2,1,2,0.5320871918684134,1,0,0
45 | 43,0,0.5871523179903329,0.593634149622972,0.2900156889686631,0.3125207407404273,2,1,0.9379679218636738,1,2,2,1,0.7990144850891738,2,1,0
46 | 44,0,0.5491800338520398,0.6071218053559042,0.2763049011818035,0.2770406921445747,1,2,0.9516304403605318,1,2,2,1,1.2580498710149186,1,1,0
47 | 45,1,0.5602806442496965,0.6395230422033186,0.2855949096002136,0.28492030076990676,1,2,0.8482096338248084,1,1,2,1,0.9011889086705196,2,0,0
48 | 46,1,0.5560494959912186,0.6138929030233695,0.2806025247737123,0.28102425333901015,1,2,0.5204969472824814,1,1,2,1,0.6667321704444475,1,0,0
49 | 47,1,0.5368906337096759,0.5912290237175932,0.2634165761160694,0.2577653357586287,2,1,0.8459345095034223,2,2,1,2,1.24826596103685,1,0,0
50 | 48,1,0.5327120295605319,0.6279049435704536,0.2803351952978399,0.26914015947056447,1,2,1.003721339077856,1,1,2,1,1.3367724326290045,1,0,0
51 | 49,1,0.49960894057913197,0.5851369243125815,0.28973680269459134,0.25961577974032957,1,2,0.7643400449042019,2,2,1,2,-1,-1,0,1
52 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/38721_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/44275_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/46080_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/49147_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/53366_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/55027_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/57120_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/57653_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/61120_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/63342_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/63520_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (5, 6); 2 -> blue -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/68012_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/75759_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/77823_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (5, 6); 2 -> pink -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/88310_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (3, 4); 2 -> blue -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/88310_tutorial.csv:
--------------------------------------------------------------------------------
1 | trial,common,reward.1.1,reward.1.2,reward.2.1,reward.2.2,isymbol_lft,isymbol_rgt,rt1,choice1,final_state,fsymbol_lft,fsymbol_rgt,rt2,choice2,reward,slow
2 | 0,1,0.7247278919112651,0.6492894891162739,0.2840195421603756,0.6159738186154157,1,2,-1,-1,-1,-1,-1,-1,-1,0,1
3 | 1,1,0.6922547465333202,0.6392091157688637,0.27025356039471093,0.6201976072241215,1,2,0.7409884680041614,1,1,2,1,0.5631316630156107,1,0,0
4 | 2,0,0.7045930724879498,0.6283308468758984,0.28593091832879086,0.6399498503962711,1,2,0.3117683832597322,2,1,1,2,0.43338425728461516,2,1,0
5 | 3,0,0.7337425074520005,0.6470452278420012,0.2736275692997079,0.6494534258730488,1,2,0.237050238424672,1,2,1,2,0.3695648039729349,2,0,0
6 | 4,0,0.7373546137500984,0.6589817859822914,0.30091238574592666,0.6251444942131399,1,2,0.7452806296096242,1,2,2,1,1.5151309337197745,1,1,0
7 | 5,1,0.7481128777875969,0.688701552793813,0.3365408620257391,0.636149454383967,2,1,0.9313417148059671,1,1,1,2,0.3134026587313201,2,0,0
8 | 6,1,0.7218328476798215,0.6709813431486569,0.31536917144092547,0.6226788486106205,2,1,0.342526510188236,2,2,2,1,0.33237250975980714,2,1,0
9 | 7,1,0.6743874565892574,0.6591485326114066,0.2656314690970609,0.6225850552524255,1,2,0.2974381358512801,2,2,2,1,0.27937839574769896,2,0,0
10 | 8,1,0.6799241926831406,0.7289201027158903,0.2571451691933251,0.650003386407142,2,1,0.6817570000812339,2,2,2,1,0.655691000587467,1,0,0
11 | 9,1,0.6958980163541066,0.744824410233254,0.26331524525466654,0.6553245797458064,2,1,0.5863055322370201,1,1,2,1,0.3362553478450536,1,0,0
12 | 10,0,0.7117531154492149,0.7225377394866506,0.26432999930585055,0.6105747194090265,1,2,0.48268087586757247,1,2,1,2,0.3777615376557151,1,0,0
13 | 11,0,0.737003391377108,0.6921185698204395,0.266448556878911,0.6706984514155397,2,1,-1,-1,-1,-1,-1,-1,-1,0,1
14 | 12,0,0.739728380222901,0.6865548400987707,0.2873127075134513,0.6856510606743368,1,2,0.3761227342688471,2,1,1,2,1.0448526208929252,2,0,0
15 | 13,1,0.7047831815868175,0.6748514008874555,0.32051382853722227,0.6561279634967503,2,1,0.7894558744110327,1,1,1,2,0.6556254967504174,1,0,0
16 | 14,0,0.7115137929891878,0.6755843448309207,0.3451455573921236,0.6707547297483637,1,2,0.46143710590149567,2,1,1,2,0.7435186669335963,2,1,0
17 | 15,1,0.6972544764710975,0.7291055135832829,0.3507529807095029,0.6452368534755193,1,2,0.5893171994666773,2,2,1,2,0.5566881380395898,2,1,0
18 | 16,0,0.7067363363926299,0.7229286416894967,0.36383425163172317,0.6022490335418671,1,2,0.5865735848078657,2,1,2,1,0.8606449622566288,1,1,0
19 | 17,0,0.7087057611641681,0.7047076144270839,0.36278519675793475,0.618518130319603,2,1,0.4877298030082784,1,2,1,2,0.5298750325632682,2,1,0
20 | 18,0,0.7410924619759103,0.702854164582448,0.3828416550680231,0.606679735093804,2,1,0.6876094812123483,2,1,1,2,0.8150811568402787,1,0,0
21 | 19,0,0.739103781631193,0.6863767748100624,0.3369632287973343,0.6228606205942396,1,2,0.5435502415944029,2,1,1,2,0.4417129042258239,2,1,0
22 | 20,1,0.7240419422395761,0.6847314746172259,0.2788126467348886,0.5914505278908337,1,2,0.8235057955803313,1,1,1,2,0.7615938019480382,2,0,0
23 | 21,1,0.7103518314559982,0.7065817334854274,0.3044422905757592,0.583480467970916,2,1,0.5647599012672799,2,2,2,1,0.5535104472587591,1,0,0
24 | 22,1,0.7184381655380085,0.7117527949710909,0.3596300677234007,0.5681764547657147,1,2,0.6019398191792789,2,2,2,1,0.6200484607657017,2,0,0
25 | 23,1,0.7017715078054738,0.713235979198379,0.3657590532422152,0.5957292857522729,2,1,0.7804851691157637,1,1,1,2,0.9798305533440725,2,1,0
26 | 24,1,0.6857017380837487,0.7056932771688069,0.33748746368718163,0.6048067028187077,2,1,0.7192333454981963,1,1,1,2,0.8039587863136148,1,1,0
27 | 25,1,0.6647812477586805,0.6987324338155945,0.32479439353739403,0.6131956057935402,1,2,0.6338250950939255,1,1,1,2,0.8386888003228705,1,1,0
28 | 26,1,0.6512776180004636,0.6841742973860891,0.3675661544732723,0.6222788792213191,1,2,0.5351911066918547,1,1,1,2,0.4945920091959124,2,1,0
29 | 27,1,0.618111159936263,0.7009054878021991,0.37524765054714615,0.6495768275770806,2,1,0.5643164674534091,1,1,2,1,0.5957335569519273,2,1,0
30 | 28,1,0.6030473817517437,0.6983455670535865,0.36491714087976046,0.6600043034061781,1,2,0.8574497635372609,1,1,2,1,0.6410510437899575,2,1,0
31 | 29,1,0.6087295777788888,0.6890872298459818,0.33421464086054953,0.7039303739297583,1,2,0.8415078802327116,1,1,2,1,0.4863587503314193,2,1,0
32 | 30,1,0.6433185758636819,0.7195177318827173,0.32104997100697186,0.6447415862652841,2,1,0.5934034918677753,1,1,1,2,0.5874981850606673,2,1,0
33 | 31,1,0.6213080352024221,0.7463319685854449,0.33117977444401003,0.6445046303756832,1,2,0.5185117769565295,1,1,2,1,0.5713259818103325,2,1,0
34 | 32,0,0.591514746164356,0.7386199898016207,0.3344022884418261,0.636277522394193,1,2,0.6330888561069514,1,2,1,2,0.5659072749404004,2,1,0
35 | 33,0,0.5794414458127761,0.7486422846368814,0.35214500877656724,0.6513880780159496,1,2,0.5823061758042058,2,1,2,1,0.5711065288610371,2,1,0
36 | 34,1,0.5853350823186583,0.7233584135263806,0.3486514390953581,0.6186391653367274,2,1,0.5528152613678685,2,2,2,1,0.6989513046887623,2,1,0
37 | 35,1,0.5599686612372148,0.748594541098717,0.37916773415482263,0.6051981665349433,1,2,0.7180108084353378,2,2,1,2,0.5068246244923102,2,1,0
38 | 36,1,0.5916961159839803,0.7144717063482804,0.3907748549044255,0.6258218647081205,1,2,0.5606111236384095,2,2,2,1,0.5093744443870492,2,1,0
39 | 37,1,0.5569972874921945,0.7370330111310174,0.4025955080977421,0.6448468818900824,2,1,0.5043460437946123,2,2,1,2,0.5038274465910035,2,1,0
40 | 38,1,0.5584454471567792,0.7407996099755615,0.44527854485815366,0.6494751058867436,2,1,0.4055511634778668,2,2,2,1,0.5488575617541755,2,0,0
41 | 39,1,0.5413132782367915,0.7054456946654581,0.44432738918482384,0.661695338461118,2,1,0.5866076951010655,2,2,1,2,0.5327297320714024,1,1,0
42 | 40,1,0.5400077134971726,0.7228292940010823,0.3966955079318759,0.6897266730468413,1,2,0.6531598960750671,2,2,2,1,0.7085990842142564,1,0,0
43 | 41,1,0.5482546927397379,0.7325145385562215,0.34087957018898485,0.7102911701382186,1,2,0.6184033182976236,1,1,2,1,0.700525811681473,2,0,0
44 | 42,0,0.5603143197875461,0.7404059126830527,0.3768245918638723,0.6972697345451917,2,1,0.6396944804414488,2,1,1,2,0.9244598876534837,1,0,0
45 | 43,0,0.5320879548136963,0.6921581954418747,0.36542861658861203,0.7252360003816353,2,1,0.5756640262884503,2,1,2,1,0.7991350474812862,1,1,0
46 | 44,1,0.5168595263420539,0.715660946062557,0.3308734969511138,0.7341404843209732,2,1,0.5249172674457441,1,1,2,1,0.48172216532202583,1,1,0
47 | 45,0,0.5009302676216363,0.7055920236757343,0.34733296914092165,0.707174790480305,1,2,0.7140829930604013,1,2,1,2,0.4709252009561169,1,0,0
48 | 46,1,0.5818547500496264,0.6990815029056394,0.361120623517934,0.7258726201914271,1,2,0.5112740556805875,1,1,1,2,0.5213788527653378,2,1,0
49 | 47,0,0.5782892628760823,0.718246188074948,0.38535717279691406,0.7436003586242215,2,1,0.7937441118237984,1,2,1,2,0.6146306594791895,2,1,0
50 | 48,1,0.5904180343292932,0.7117131312665874,0.3412506634242669,0.707436311479632,1,2,0.6870718667660185,2,2,1,2,0.4678758011013997,2,1,0
51 | 49,0,0.5715523118735262,0.7230191076379714,0.35751563360435096,0.7371143476479994,1,2,0.7162639388088792,2,1,2,1,0.5770184766097373,2,1,0
52 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/92975_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> pink -> (5, 6); 2 -> blue -> (3, 4);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/94345_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
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/results/magic_carpet/choices/97543_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/99461_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/choices/99845_config.txt:
--------------------------------------------------------------------------------
1 | Common transitions: 1 -> blue -> (3, 4); 2 -> pink -> (5, 6);
2 |
--------------------------------------------------------------------------------
/results/magic_carpet/questionnaires/03187_questionnaire.txt:
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1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: very easy
4 |
5 | Always go back to the last genie who gave you a coin until they don't give you a coin. Then go back to the most likely genie on the other mountain to give you a coin based on precedent. Then the next on the opposite mountain, and finally the last genie on the next mountain. If I am blown randomly off course and haven't tapped the gnie who usually paid up on the mountain I am blwon to for a while, I will check that genie. But then I will continue to the genie I was originally headed for until they don't deliver, then return to the one on the opposite mountain I was blown to that paid.
6 | I named all the genies and mountain symbols according to something the symbol reminded me of tpo help me remember.
7 | Then I tried to stay interested :) My strategy for this was celebrating every coin by singing Call Me Maybe in my head as if this was the song entertaining the genie.
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/results/magic_carpet/questionnaires/04862_questionnaire.txt:
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1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | If I found a genie I kept trying to get back to him for more coins. At first I thought genies came out a max of twice but this theory was later proved wrong as sometimes they came out four or five times consequivitely.
6 |
7 | I tried to to get psytriact when I was taken to the other island and found a genie, but sometimes I follwed this genie until it ran out and then went back to the first one that I was chasing.
8 |
9 | When I didnt find any genies, I just went through each lamp on each island until I found one.
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/results/magic_carpet/questionnaires/04936_questionnaire.txt:
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1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: easy
4 |
5 | if i got money from a genie before i always went back there until he stopped giving me money. then i swtich to another mountain as that mountain - only 1 genie may give vs the other mountain- two genies will give
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/results/magic_carpet/questionnaires/04960_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: incorrect
2 | symbol2: correct
3 | Difficulty: difficult
4 |
5 | i just clicked on a random arrow every turn as it was not worth thinking too much for such a random distribution of coins
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/results/magic_carpet/questionnaires/09695_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | It seems one genie is interested in music for a period and then lost his interest. So if I get a coin from one, then I'm going to visit it again until I find him not interested. Then I try to visit the genies who do not show interest for a long time, because after this long break, he may be interested again. But I'm a little sleepy during the test, so I may not 100% follow my strategy.
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/results/magic_carpet/questionnaires/10951_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | i tried to use the genies from the pink mountains most since both of them seemed to be interested in music, if it blew me to the blue mountain or the pink ones werent interested i took always the same blue one since the other one wasnt very interested most of the time
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/results/magic_carpet/questionnaires/16691_questionnaire.txt:
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1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | I tried to repeatedly go to the lamps that gave me a gold coin in the past
6 |
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/results/magic_carpet/questionnaires/17946_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | First I tried to find out which symbol means which colour by trying which symbol is tending more to go to pink mountain. I tried one symbol at the pink mountain, if it worked I stayed with it. If I had to try another one at the blue mountain I tryed this symbol. I wanted to remember and try every symbol as long as possible, and then switch mountains.
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/results/magic_carpet/questionnaires/23849_questionnaire.txt:
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1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: very easy
4 |
5 | Select the 2 patters with the highest probability to success.
6 | Insist on those patters no matter what is the immediate result.
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/results/magic_carpet/questionnaires/33765_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | I switched between the symbols and the colours. If the Pink Mountain and de wide symbol gave me coins, the next time I chose the same Mountain but the other geenie. If that doesn't work anymore I switched Mountain.
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/results/magic_carpet/questionnaires/35102_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: easy
4 |
5 | First I tried every symbol. If the symbol was successful, I stayed there until the ghost didn`t come out anymore. After that I started again to try every symbol.
6 | After a while I found out, that two symbols (one blue, one pink) where more successful than the others. From that moment I only tried these two. I tried one symbol as long as it was successful and returned than to the other symbol.
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/results/magic_carpet/questionnaires/46080_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: easy
4 |
5 | If I have found a genie that gave me a coin, I assumed it like music I continued going to that same genie until it failed me twice in a row, then I would mark it in my mind as a no-go-to and would trial-and-error the other genies until again someone gave me a coin.
6 |
7 | In case the wind blow me off-course, either tried a genie known to me to like music, or try one at random.
8 | This way, I eventually knew about for all four genies whether they (probably) like music and would update it in my head based on my experience.
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/results/magic_carpet/questionnaires/53366_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | First I always picked the same symbol to find out which mountain color it means. Once I figured out which symbol belonged to which mountain I didn't stick to one mountain.
6 |
7 | I figured out names for the genies from the start: pink hammer and saddle, blue flip and scribbling.
8 |
9 | I picked a random mountain and a random genie. If the genie was interested in music, I tried to choose it again. When I landed on another mountain, I picked a random genie. If that new genie was interested, I locked onto that and replaced the old information with the new. (I didn't go back to the previous mountain if I didn't need to.)
10 |
11 | All in all I tried to stick to the newest bit of information I had and hoped that the genie would still be interested when I returned. I always picked the carpet for the mountain I intended to visit.
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/results/magic_carpet/questionnaires/55027_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: very easy
4 |
5 | First I find a lamp that gives me money, and then I milk it until it doesn't give money anymore. In the meantime, I use the winds to check for interested genies on the other mountain so when the one I currently use stop give me money, I can know what other might be interested.
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/results/magic_carpet/questionnaires/57653_questionnaire.txt:
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1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | I tried to find somebody interested in music and then visited him a couple of times. Once I noticed he didn't come out of the lamp for one or two times I assumed his interest had decreased hence I visited the others until I found someone else who would come out of the lamp.
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/results/magic_carpet/questionnaires/61120_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | I returned to the genie which would listen to my music until he no longer wanted to listen. If I was redirected to another mountain due to the wind and by chance chose a genie who would listen I tended to continue choosing this genie.
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/results/magic_carpet/questionnaires/63520_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: difficult
4 |
5 | Usually I will not use the same mountain and same genie twice, but try to switch mountain and genie every round. However there were two genies, one on each mountain, which seemed more successfull in getting them to hear the music. All in all, i found it rather difficult, to find any rule of behaviour.
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/results/magic_carpet/questionnaires/68012_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | Simply always followed one mountain first f.e. the blue one and tried one symbol. If it was correct I tried to stay on it. As soon as no more gin appeared I selected on the same mountain the other gin. If it didn't work I switched mountains. When it was windy and I landed on the other mountain I just took the opposite gin of which gave me the coins when I was there on the last time.
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/results/magic_carpet/questionnaires/75759_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: very easy
4 |
5 | chose the genie which gave the coin most of the time
--------------------------------------------------------------------------------
/results/magic_carpet/questionnaires/88310_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | First choose randomly, after several times, we know which corlor is which since it has the higher probability to go to the mountain directly. If a mucis is played, it will be played again for the same lamp, but the music will not be played three times. Then we will have to change the mountain.
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/results/magic_carpet/questionnaires/92975_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: easy
4 |
5 | if there were two kinds who gave money, I tried to visit first the one, than the other and again the first. If there was only one, I visited him/her 2-3 times and then tried another one and came back to the one who gave money. I remembered them by male and female, so it was easier for me to remember which one gave and which doesn't.
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/results/magic_carpet/questionnaires/97543_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: easy
4 |
5 | At first it was experimenting which genie was interested in music. Once I found one, I repeated my choice up to three times and moved to the other mountain randomly. Then came back to my genie. Once I saw that the preference were changed conducted the same strategy to the other genie.
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/results/magic_carpet/questionnaires/99461_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: very easy
4 |
5 | If a certain genie gave a gold coin I try to get to that genie again (wind gets in the way occasionally). I split the symbols up into short and long for both colors. And decided which one was next in the 2 sec after the genie result and the carpet screen. The `long` symbol (specifically) blue appeared to have genies who gave coins more often so I went to them more often than the others. I felt like the wind occured more often if I had found a genie that had given a coin 1 or 2 times in a row already.
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/results/magic_carpet/questionnaires/99845_questionnaire.txt:
--------------------------------------------------------------------------------
1 | symbol1: correct
2 | symbol2: correct
3 | Difficulty: average
4 |
5 | always switch carpet, keep for each carpet the genius that gave you a coin last time
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/results/spaceship/choices/01968_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab13', u'part_number': 18, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'GA5', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/01968_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.675407492588,0.490487105934,0.697059206197,0.382250080345,1,1,1,1,0.442645357753,1,1,0.413964414307,0,0
3 | 2,0.693126849335,0.497563198971,0.746119035451,0.384318017948,1,1,1,0,0.267252516911,0,0,0.283321138182,0,0
4 | 3,0.718206979187,0.522147936597,0.740493870393,0.40183903635,1,1,1,1,0.261850728932,1,0,0.525888736751,0,0
5 | 4,0.70844438587,0.510389301942,0.748666501498,0.428277666445,0,0,0,0,0.229882829951,1,1,0.624262253712,1,0
6 | 5,0.688482774741,0.56864542,0.744988063217,0.415425087838,0,0,1,0,0.27521045692,0,1,0.269898623276,1,0
7 | 6,0.728835225281,0.570327786291,0.728831546924,0.422342671274,1,0,1,0,0.317799608306,1,0,0.424493901216,0,0
8 | 7,0.743050624286,0.571750903938,0.747406528069,0.412912266268,1,1,0,1,0.347131966027,0,1,0.013897039114,0,0
9 | 8,0.734706620457,0.594357078031,0.699448052347,0.414511140813,1,0,0,0,0.282984865938,0,0,0.229628663677,1,0
10 | 9,0.746249520527,0.626513932387,0.740253185584,0.42583310366,0,0,1,1,0.216305762632,1,0,0.234917555947,0,0
11 | 10,0.674679353733,0.63663898423,0.725418012339,0.386128174675,1,0,1,0,0.362871559699,1,1,0.264194673255,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/05136_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab18', u'part_number': 12, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'AC5', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/05136_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.404267231834,0.571797205103,0.619068848259,0.592506551538,0,1,1,1,0.874529550336,0,1,0.364005786063,0,0
3 | 2,0.406520865645,0.56792049643,0.655254529652,0.604219042425,0,1,0,1,0.468888742654,1,1,0.45871181615,0,0
4 | 3,0.405218091959,0.558909503959,0.644347822768,0.581618241492,0,0,1,0,0.280961232654,0,0,0.340069753935,0,0
5 | 4,0.352605352833,0.511241406861,0.712413923697,0.544025889032,1,1,1,1,0.260847962502,1,0,0.277303890258,0,0
6 | 5,0.34695297142,0.516749877741,0.73869130948,0.527627587362,1,1,0,0,0.286043054974,1,1,0.323946476502,0,0
7 | 6,0.320694979323,0.495405358416,0.748236206012,0.538418996377,1,1,0,0,0.527388713072,1,0,0.277264950247,1,0
8 | 7,0.33173644111,0.506791513181,0.726881056049,0.530749770699,0,1,0,0,0.267390789872,0,0,0.206508837873,0,0
9 | 8,0.317620894764,0.503382333109,0.734285169012,0.570663675785,1,1,0,1,0.407181805778,0,1,0.245196191244,1,0
10 | 9,0.315396364159,0.487444589725,0.709153980095,0.592210029118,0,0,0,0,0.371255570837,1,0,0.225112503426,1,0
11 | 10,0.348249097181,0.536197686417,0.65292312212,0.584501491596,0,1,0,0,0.289947621158,0,1,0.218420255084,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/12251_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab04', u'part_number': 7, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'BGL', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/12251_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.287585082783,0.726341340278,0.591602536737,0.584823840068,0,1,1,0,0.410842592656,1,1,0.28118107201,0,0
3 | 2,0.280792714331,0.715257964706,0.593836231414,0.581033185159,1,1,1,1,0.337721984541,1,1,0.428776133207,0,0
4 | 3,0.273092192801,0.740739492555,0.599453199012,0.594551387426,1,1,1,0,0.613320747757,0,0,0.395099352902,0,0
5 | 4,0.289449938399,0.694003816902,0.60186996716,0.583881981022,1,1,0,0,0.614279457145,1,0,0.617421222674,1,0
6 | 5,0.339839915901,0.74257997496,0.591061600037,0.551503875111,0,1,1,0,0.420681438318,1,0,0.623672756504,1,0
7 | 6,0.333272638713,0.666459561366,0.594809124598,0.556044869726,1,1,1,0,0.45901079665,0,1,0.411395601347,1,0
8 | 7,0.300699283001,0.69542463723,0.586772218233,0.552620137687,1,1,1,0,0.390537936788,0,1,0.342903724266,1,0
9 | 8,0.333142023558,0.701130053399,0.602527309291,0.519348683448,0,0,1,0,0.516774244767,0,1,0.319839760298,1,0
10 | 9,0.321409894838,0.715020608778,0.604053589601,0.479290288754,0,1,1,1,0.392417622986,0,1,0.400674417039,1,0
11 | 10,0.324446340426,0.743245489877,0.604582218617,0.473586202358,1,0,1,1,0.395971126426,0,1,0.345626507228,0,0
12 |
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/results/spaceship/choices/13442_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab20', u'part_number': 22, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'WT5', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/13442_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.350477356672,0.499473442241,0.534891834764,0.610400088321,1,1,1,0,0.553783733691,0,1,0.387781462491,1,0
3 | 2,0.340046931113,0.539245214277,0.516817606308,0.600307504726,0,1,1,1,0.295914677253,0,1,0.333950034804,1,0
4 | 3,0.349723649392,0.607428229167,0.501588827632,0.631460785259,0,1,1,1,0.234107485361,0,1,0.424369699703,1,0
5 | 4,0.306294824044,0.603375751492,0.51490860155,0.659730016163,0,0,1,0,0.311200602756,0,1,0.479967012659,1,0
6 | 5,0.293957904109,0.59176344142,0.535029197104,0.647039045356,1,1,1,0,0.174738422585,0,1,0.236899093391,1,0
7 | 6,0.280817315786,0.609914593789,0.546968600882,0.636694523101,0,1,1,1,0.374332963252,0,1,0.380535899391,1,0
8 | 7,0.250981382121,0.649683830094,0.547158938795,0.635770969166,1,1,0,0,0.283281805707,1,0,0.425429834586,0,0
9 | 8,0.250362260491,0.62623484224,0.572719698123,0.607887525621,1,0,1,1,0.256337716954,0,1,0.10508949265,0,0
10 | 9,0.259910221446,0.606764370431,0.598461995415,0.587413309046,1,0,1,1,0.117051327795,0,1,0.256638370242,1,0
11 | 10,0.311029675744,0.622700614136,0.593110121114,0.575274866566,1,1,1,0,0.0793637138049,0,1,0.0400264309255,1,0
12 |
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/results/spaceship/choices/14972_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab07', u'part_number': 1, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'GDA', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/14972_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.540492836344,0.342673410844,0.731779474013,0.567653707494,0,0,1,1,0.282440441513,1,1,0.315030454656,0,0
3 | 2,0.552319793873,0.341571261465,0.702771677596,0.537600653385,0,1,0,0,0.285752449443,0,1,0.403220966954,0,0
4 | 3,0.584259691953,0.373221884996,0.701316982522,0.534465652285,1,1,1,0,0.344590698969,0,0,0.552675475747,1,0
5 | 4,0.598769378132,0.32259714934,0.673372176561,0.502420712933,0,0,1,0,0.280710179987,0,0,0.32612079109,1,0
6 | 5,0.599124088818,0.314253787608,0.683138981267,0.495641038418,1,0,1,1,0.246165019618,0,0,0.286173544144,1,0
7 | 6,0.603267283479,0.33561511081,0.675643034592,0.48393389268,0,0,1,0,0.251528166255,0,0,0.424977224663,1,0
8 | 7,0.58123189101,0.366836245878,0.699778870241,0.493358117463,0,0,0,0,0.254324597304,1,0,0.334303310136,1,0
9 | 8,0.544005275014,0.391938048721,0.65386771571,0.499254415376,1,1,1,1,0.297110233839,1,0,0.32911795904,1,0
10 | 9,0.545506319783,0.369127405938,0.617872564937,0.472178116571,0,0,1,1,0.273202318043,1,0,0.323864689443,0,0
11 | 10,0.5552022894,0.387137742238,0.633178606668,0.487309720403,0,1,1,0,0.315878983118,1,1,0.425333419464,0,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/18796_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab24', u'part_number': 14, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'7TU', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/19470_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab09', u'part_number': 17, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'J4Q', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/19470_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.708023302581,0.433422456992,0.354067770974,0.639983683554,1,0,1,0,0.330431748253,1,0,0.275029755912,0,0
3 | 2,0.712974128332,0.444753781586,0.325344908162,0.646558333364,0,0,0,0,0.221759805263,1,1,0.448420619859,1,0
4 | 3,0.711272148594,0.44191094397,0.324347834448,0.634739391591,1,0,1,1,0.213761102057,0,0,0.549799609815,0,0
5 | 4,0.70373301612,0.421814505021,0.378221846344,0.653816043751,1,0,0,0,0.264504177298,0,1,0.427258981637,0,0
6 | 5,0.697890029002,0.403723298123,0.39093076842,0.676887420462,1,1,1,1,0.24596691547,1,1,0.435312019759,1,0
7 | 6,0.673142456419,0.429172428434,0.428032477622,0.733063269222,1,0,0,0,0.23534866564,0,0,0.22204627101,1,0
8 | 7,0.636019195369,0.406319975039,0.430159057078,0.74315551263,1,0,1,1,0.246010987124,0,0,0.323381793034,1,0
9 | 8,0.636067203624,0.404458739412,0.496298435611,0.742741586386,0,0,1,0,0.382066217961,0,0,0.390142499351,0,0
10 | 9,0.64260907701,0.405542521986,0.534270263273,0.724370692772,0,1,1,0,0.451532501184,1,1,0.33694650456,0,0
11 | 10,0.625090429065,0.444073816063,0.51563529184,0.699486071676,0,0,1,1,0.254262347685,1,0,0.331622588473,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/21541_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab22', u'part_number': 13, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'JRW', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/21541_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.542700070733,0.602786141584,0.318978975346,0.683049041237,0,1,1,0,0.380293160838,1,0,0.642293547824,1,0
3 | 2,0.543398529558,0.604758870978,0.352220588354,0.659156734358,0,0,1,1,0.52250686657,1,0,0.391979688414,0,0
4 | 3,0.597468406484,0.587974227202,0.28839943855,0.643522540516,1,1,1,0,0.402759427177,0,1,1.08008871075,1,0
5 | 4,0.588791067277,0.592329977667,0.309710665261,0.650035711157,1,0,1,1,1.02172338776,0,1,0.65680397997,0,0
6 | 5,0.563376034431,0.575192611737,0.320952500916,0.66102246254,0,1,1,1,0.467531738363,0,1,0.510336456683,0,0
7 | 6,0.557685921228,0.558580121424,0.306509331086,0.709695657543,0,1,1,-1,-1,-1,-1,-1,(0,),1
8 | 7,0.574543844684,0.576434434881,0.283727806075,0.715480282254,0,0,1,1,1.28899576761,1,1,0.393970156264,1,0
9 | 8,0.619668038993,0.544221122448,0.282166176578,0.693874226961,1,1,0,1,0.362060487402,0,0,1.03148042329,1,0
10 | 9,0.608903789625,0.585757273216,0.28246719167,0.681008267308,1,0,1,1,0.365083016153,0,0,0.466533485833,1,0
11 | 10,0.56958200853,0.568167866744,0.25122470498,0.709122347587,0,1,1,1,0.383944766781,0,0,0.440113149373,1,0
12 | 11,0.570586381261,0.538021371621,0.297577605018,0.717227594841,1,1,0,0,0.789500629228,1,1,0.741706157561,1,0
13 |
--------------------------------------------------------------------------------
/results/spaceship/choices/28896_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab01', u'part_number': 8, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'2J4', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/28896_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.393796303464,0.648562307517,0.295809204919,0.3788911343,1,0,1,1,0.302152292642,0,0,0.372300351999,0,0
3 | 2,0.435080903971,0.656047736413,0.295345602893,0.432846304997,0,0,1,0,0.276483317853,0,0,0.57530609368,0,0
4 | 3,0.392373691934,0.641143396486,0.267778769757,0.394670427496,1,1,0,0,0.383479136789,1,0,0.522282557347,1,0
5 | 4,0.406381364942,0.665597426499,0.284429325055,0.420315363359,0,0,1,0,0.31991283488,0,1,0.80263511786,0,0
6 | 5,0.377859934453,0.613821492352,0.278821936477,0.432336608276,0,0,0,1,0.323044633335,0,0,0.483136736886,1,0
7 | 6,0.373419579756,0.627178805468,0.285795755486,0.424541446338,1,1,1,1,0.331331598443,1,0,0.45675537228,0,0
8 | 7,0.349455333098,0.624971185983,0.262569786568,0.446717213871,1,1,1,0,0.449060656672,0,1,0.542517446759,1,0
9 | 8,0.410841275545,0.603843451295,0.255326310706,0.451793884042,0,1,1,1,0.281444086606,0,1,0.521566847068,0,0
10 | 9,0.391248706217,0.569370962433,0.261372488561,0.428073212863,0,1,1,0,0.324427152557,1,1,0.337906714969,0,0
11 | 10,0.374228536951,0.578060838682,0.296231629064,0.456743812787,1,1,0,1,0.484780666948,0,0,0.298273088599,0,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/36455_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab15', u'part_number': 11, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'ARQ', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/36455_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.312243204655,0.493989219058,0.56194401406,0.659282774661,1,0,1,1,0.292190092224,0,0,0.34903036472,0,0
3 | 2,0.338155151189,0.514923702487,0.566217194423,0.659063170122,1,1,1,0,0.309416045438,0,1,0.613637680844,0,0
4 | 3,0.33854235848,0.531162964696,0.521223652849,0.694654374684,0,0,1,1,0.26735122519,1,1,0.355542998172,1,0
5 | 4,0.378405377368,0.545234564377,0.523407455074,0.684168523056,1,0,1,0,0.315888229626,1,0,0.326846961717,0,0
6 | 5,0.38843535397,0.584123373863,0.51208391684,0.703214058046,0,0,0,1,0.524464258547,0,1,0.282108565826,0,0
7 | 6,0.363648341974,0.561522481898,0.534243697958,0.659766959302,0,0,0,1,0.293082390926,0,0,0.266646079802,0,0
8 | 7,0.39257475713,0.563247521093,0.506262404415,0.665859540303,0,1,1,0,0.288321150257,1,1,0.261777678767,1,0
9 | 8,0.393904069329,0.58761445059,0.520060121724,0.648262322196,0,1,1,0,0.318064943407,1,1,0.225021975421,0,0
10 | 9,0.395295741397,0.625313420901,0.563876741746,0.637278202122,0,1,1,0,0.262651563998,1,0,0.278859342814,1,0
11 | 10,0.446853627871,0.622462546996,0.585301399374,0.606389218341,0,0,1,1,0.281749352208,1,0,0.247372005245,0,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/36495_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab19', u'part_number': 20, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'CNA', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/36495_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.382944902433,0.331581963448,0.567530335162,0.294414599395,0,1,1,1,0.46112145318,0,0,0.459657732709,0,0
3 | 2,0.376793163179,0.333637970085,0.55551215885,0.350525697803,1,1,1,0,0.356180634396,0,1,0.311195605156,0,0
4 | 3,0.371921245363,0.351630770301,0.509439001503,0.344571304134,1,0,1,0,0.426303379839,1,1,0.266686005848,1,0
5 | 4,0.368059818085,0.359610634571,0.529729733809,0.350799427358,0,1,1,0,0.528205069381,1,0,0.254174501199,1,0
6 | 5,0.342233631569,0.33677924829,0.555253214225,0.334545426885,0,1,1,1,0.569218824852,0,0,0.303038133103,0,0
7 | 6,0.340290687735,0.324946109832,0.527413738987,0.361555710378,0,1,1,0,0.276851150586,1,1,0.333144771282,0,0
8 | 7,0.359280283561,0.353957007377,0.57090313383,0.347938823021,0,1,1,1,0.00833255101224,0,1,0.157830059306,1,0
9 | 8,0.373783703619,0.376236549743,0.571663068595,0.327164087051,0,1,1,1,0.291651661696,0,0,0.289317678054,0,0
10 | 9,0.358047945178,0.370828449639,0.575636973186,0.33501723874,1,0,1,1,0.49239659248,0,1,0.290101911047,0,0
11 | 10,0.362898508715,0.386542736546,0.59584723254,0.333076799085,1,0,0,0,0.351936177078,0,0,1.53359870876,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/36848_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab10', u'part_number': 25, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'25C', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/36848_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.265844007392,0.641836674658,0.377236831408,0.565435289939,0,0,1,0,0.275097832767,0,0,0.340162811112,0,0
3 | 2,0.252581700706,0.618656883525,0.37657816596,0.543872336048,1,1,1,1,0.300644531085,1,0,0.570332432181,0,0
4 | 3,0.263424079527,0.607986894893,0.378406615667,0.521997774993,0,0,1,1,0.304379744482,1,1,0.408661143034,0,0
5 | 4,0.252268930665,0.626358424449,0.36398556843,0.542544648178,1,0,1,1,0.417271090644,0,1,0.487013085019,0,0
6 | 5,0.299623383294,0.60609973356,0.370782793358,0.535342330003,0,0,1,0,0.370252197841,0,0,0.447977780702,0,0
7 | 6,0.297348693148,0.620896312783,0.355481435156,0.53833513483,0,0,1,1,0.357853909507,1,0,0.472915325906,0,0
8 | 7,0.32309543424,0.602358132899,0.33989339588,0.561621537442,0,0,1,1,0.385467743864,1,1,0.393824732944,0,0
9 | 8,0.340257310063,0.596939267089,0.328873593392,0.575941220362,0,0,1,1,0.32241677423,1,1,0.392087227828,1,0
10 | 9,0.335941689082,0.5988276905,0.306511497569,0.589323958232,0,1,1,0,0.288669450217,1,1,0.26232161594,1,0
11 | 10,0.3761432472,0.63858214633,0.277484671568,0.57566141145,0,1,1,0,0.326855019144,1,1,0.276525931569,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/45878_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab21', u'part_number': 5, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'B53', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/45878_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.718658750184,0.701453137327,0.442039697006,0.390772218658,1,0,0,1,0.643932778172,1,0,0.368223731456,1,0
3 | 2,0.69581514547,0.682524252474,0.482718192155,0.387953822992,1,0,0,1,0.230662767037,1,0,0.558772008997,0,0
4 | 3,0.679872520038,0.660399483889,0.427520304636,0.362273191462,1,1,1,0,0.251020211646,0,1,0.608835807127,1,0
5 | 4,0.641270222103,0.650824994588,0.393144541168,0.385593123456,0,1,1,1,0.24467088647,0,1,0.266535518519,1,0
6 | 5,0.6462405504,0.644853502443,0.373892393041,0.384118568821,0,0,1,0,0.470218634246,0,0,0.350902697512,1,0
7 | 6,0.661645961235,0.649241544839,0.416494888953,0.350069704735,1,0,1,1,0.207885611929,0,1,0.210980583453,1,0
8 | 7,0.680605756593,0.652365650062,0.391360351258,0.325680191881,0,0,1,0,0.22811567158,0,1,0.223335415162,0,0
9 | 8,0.663004015144,0.607803197325,0.407565821735,0.315856458043,0,1,1,0,0.216328638704,1,1,0.275549362728,0,0
10 | 9,0.651472881632,0.616379027294,0.436468167879,0.303498346478,1,0,0,1,0.263145629685,1,1,0.175784904158,1,0
11 | 10,0.630018789128,0.584767319783,0.387004787847,0.31375057292,1,1,1,0,0.240729499248,0,1,0.214536495338,0,0
12 |
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/results/spaceship/choices/57630_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab23', u'part_number': 21, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'KAF', u'spaceships': (u'Y', u'X')}
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/results/spaceship/choices/62517_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab03', u'part_number': 24, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'FNF', u'spaceships': (u'X', u'Y')}
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/results/spaceship/choices/62517_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.416936932271,0.261648127163,0.511634102882,0.327630995889,1,0,0,1,0.441374216181,1,0,0.940875089011,0,0
3 | 2,0.429974129507,0.289902732106,0.484248355391,0.321469103912,1,0,1,1,0.440040594267,0,1,1.32559180604,0,0
4 | 3,0.416808771338,0.276625917523,0.492956507239,0.296040819146,1,0,1,1,0.331479604912,0,0,0.921033463405,0,0
5 | 4,0.442636527188,0.300102120163,0.487491993205,0.306575891287,0,0,1,0,0.481487317461,0,1,0.556319565755,0,0
6 | 5,0.487613716596,0.311370746728,0.514604243667,0.283998798759,0,0,0,1,0.399365125938,0,0,0.386257113732,0,0
7 | 6,0.496452823137,0.353556155666,0.512704363021,0.28200717773,1,1,0,1,1.01043382558,0,1,0.437579219647,0,0
8 | 7,0.501522425656,0.375936489026,0.517514738027,0.308486039038,0,1,1,0,0.38982782754,1,1,0.835425682877,1,0
9 | 8,0.493740699587,0.388725289539,0.532103967069,0.309886270312,0,0,1,1,0.547832743648,1,1,0.812173631657,1,0
10 | 9,0.498479034368,0.398795773511,0.533035860921,0.309371742674,0,0,1,1,0.4365299508,1,1,0.455352493659,0,0
11 | 10,0.49714093263,0.362737645658,0.528494869395,0.300952408526,1,0,0,0,0.405029849525,0,0,0.613161501976,1,0
12 |
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/results/spaceship/choices/65532_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab14', u'part_number': 3, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'FUB', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/65532_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.355067996377,0.358422786623,0.387796465928,0.627836577313,0,0,1,0,0.354037319578,0,1,0.384221526736,0,0
3 | 2,0.351674567908,0.344137841768,0.419506654374,0.599500697943,1,1,1,0,0.395166373258,0,0,0.880884160551,0,0
4 | 3,0.343293484571,0.333170198705,0.44222034432,0.654325685431,0,1,0,0,0.398707796928,0,1,0.385615215203,0,0
5 | 4,0.320636654987,0.345884190387,0.456776450707,0.63654941832,0,1,1,0,0.332626376784,1,1,0.487431447552,0,0
6 | 5,0.320754050905,0.299635012937,0.514485613141,0.646987664189,0,0,1,1,0.29055159515,1,0,0.336021096404,0,0
7 | 6,0.335662681378,0.363236978712,0.503173957207,0.649373818878,1,0,1,0,0.285682892255,1,0,0.355187406876,1,0
8 | 7,0.343293316938,0.40982687069,0.450740522064,0.662024277999,1,1,1,0,0.310163753112,0,0,0.427737690745,1,0
9 | 8,0.327492243573,0.425248595405,0.495282461171,0.657265843242,0,0,1,1,0.326714445097,1,0,0.308265656281,1,0
10 | 9,0.307069798562,0.456842812379,0.472961175395,0.676097010847,0,0,1,0,0.492614688758,0,0,0.338183924617,1,0
11 | 10,0.303658166654,0.427262381107,0.467854169139,0.663802839616,1,0,0,0,0.325152016788,0,1,0.352071304205,0,0
12 |
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/results/spaceship/choices/67722_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab06', u'part_number': 23, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'5VF', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/67722_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.423237417386,0.486374930585,0.407319007057,0.339972348257,1,0,1,0,0.343872593115,1,1,0.313803056519,0,0
3 | 2,0.448779729267,0.455790917712,0.444178733993,0.359282133473,0,1,1,1,0.262036387478,0,1,1.22287360374,1,0
4 | 3,0.420525905209,0.460755230206,0.499014046,0.33325230515,0,0,0,0,0.278118611876,1,0,0.817632459427,1,0
5 | 4,0.446601558128,0.49697960641,0.464197177826,0.336855534231,0,0,0,0,0.238030323703,1,0,0.278821041371,1,0
6 | 5,0.495055389545,0.516868561871,0.462144369221,0.314934900673,1,0,1,1,0.296383288034,0,1,0.289211685143,0,0
7 | 6,0.51487091089,0.53619154109,0.431954946386,0.303653761887,0,1,0,1,0.253349142776,1,0,0.299474641903,1,0
8 | 7,0.52891016135,0.536330762264,0.416564157443,0.304727798574,0,1,1,0,0.25035287498,1,0,0.288567212873,1,0
9 | 8,0.546020316896,0.520108161967,0.39019064304,0.311900394424,1,0,0,0,0.266073772303,0,0,0.365582403703,1,0
10 | 9,0.552884394554,0.599991351981,0.395691659819,0.274209932291,1,1,1,0,0.289820537867,0,0,0.3279687683,1,0
11 | 10,0.554133037244,0.621164611454,0.383914990823,0.267515205587,0,0,0,0,0.26280371699,1,0,0.33021219589,0,0
12 |
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/results/spaceship/choices/73081_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab11', u'part_number': 2, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'LKQ', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/73081_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.27025879445,0.268419607135,0.715454556047,0.515357947852,0,1,1,0,1.3778243985,1,0,0.494185405935,1,0
3 | 2,0.31239387034,0.279005269448,0.72143296019,0.506926730963,0,1,0,0,0.61469911268,0,1,0.468517576601,0,0
4 | 3,0.3294149636,0.293159157052,0.749900284,0.512542469425,0,1,1,0,0.477167096567,1,0,0.386901655253,1,0
5 | 4,0.322285447075,0.263145749089,0.736583761003,0.496197918491,0,0,1,1,0.318224092417,1,1,0.409240865314,1,0
6 | 5,0.299679591181,0.270060127838,0.740069138404,0.528407035204,1,1,1,0,0.465893802344,0,0,0.290269969225,0,0
7 | 6,0.305032109411,0.254127575799,0.715500174789,0.527496255158,1,0,0,1,0.306900387438,1,1,0.355287771467,1,0
8 | 7,0.37288290488,0.283349137316,0.717933563451,0.501609567042,1,0,1,0,0.38523840213,1,0,0.252268710466,1,0
9 | 8,0.400473107083,0.271074524196,0.724406239703,0.498607691917,0,0,1,1,0.292854199714,1,0,0.298516806856,1,0
10 | 9,0.417648920774,0.287077361065,0.731015563177,0.42843522959,1,1,0,1,0.453760506643,0,1,0.323514807028,0,0
11 | 10,0.423156610847,0.291552145756,0.728464083151,0.416184540196,0,1,0,0,0.262838970836,0,1,0.22305582765,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/74476_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab17', u'part_number': 4, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'D2R', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/74476_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.641036636678,0.715146275796,0.5894611831,0.3107987896,1,0,1,0,0.240692202668,1,0,0.313321985386,1,0
3 | 2,0.649165094003,0.694677502297,0.615121530497,0.259811096535,1,0,1,0,0.300235421112,1,0,0.268337807411,1,0
4 | 3,0.628694560456,0.735855814834,0.614102396703,0.273976314185,1,1,0,0,0.249818657221,1,0,0.260591459698,1,0
5 | 4,0.62577585275,0.744499977253,0.609417730636,0.301507569833,0,1,1,0,0.193965081365,1,0,0.220703896749,0,0
6 | 5,0.61033736514,0.735146670279,0.619511370133,0.257121852069,1,1,1,0,0.207452516567,0,0,0.244888669269,1,0
7 | 6,0.573226501128,0.742383212268,0.621494886398,0.263414653868,1,1,1,0,0.24237054782,0,0,0.183813206222,0,0
8 | 7,0.545548862399,0.741933346154,0.621509557461,0.262012681765,1,0,0,1,0.234547225644,1,1,0.0932577313301,0,0
9 | 8,0.565205058571,0.740943897125,0.620448707545,0.258514237473,0,0,1,1,0.237351510978,1,0,0.178761568432,1,0
10 | 9,0.553136101679,0.747392298887,0.640960172691,0.289781405797,0,1,0,0,0.210864145507,0,0,0.194956089842,1,0
11 | 10,0.541735946654,0.731441264557,0.627593375964,0.31743765237,1,0,1,0,0.251033344432,1,0,0.363054431209,1,0
12 |
--------------------------------------------------------------------------------
/results/spaceship/choices/78906_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab16', u'part_number': 19, u'simultaneous': True, u'planets': (u'Red', u'Black'), u'part_code': u'3TN', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/78906_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.264427280155,0.400717541007,0.381677177907,0.354289683124,0,0,1,1,0.389468679676,1,0,0.409124648898,0,0
3 | 2,0.26433359653,0.366969494461,0.362026160184,0.366102137788,1,1,1,0,0.436130325391,0,0,0.551094019081,0,0
4 | 3,0.289905971687,0.354168290687,0.355823607513,0.328296846166,0,0,1,1,0.642225499089,1,0,1.36781771229,0,0
5 | 4,0.297120576287,0.355371478036,0.342874089726,0.327892928405,1,0,1,1,0.381925479619,0,0,0.406229803624,0,0
6 | 5,0.307176005741,0.382636570409,0.300943138245,0.321045105366,1,0,1,0,0.435928682362,1,1,0.374916875076,0,0
7 | 6,0.275419852393,0.388946196221,0.310894924227,0.305672979348,1,1,1,0,0.492654669712,0,1,0.962248983861,1,0
8 | 7,0.250202740262,0.390409912592,0.344527220477,0.314625064257,0,1,1,1,0.368172096891,0,1,0.565832373667,0,0
9 | 8,0.252764329654,0.383111875326,0.331076292578,0.316829734009,1,0,1,0,0.491522087911,1,1,0.441183173674,1,0
10 | 9,0.264935641682,0.402876796413,0.300083467017,0.299624191332,0,1,1,0,0.566890395845,1,1,0.50593775328,0,0
11 | 10,0.252955661431,0.396397851907,0.293986404832,0.304271137234,1,1,1,0,0.482432153007,0,1,0.477350627946,0,0
12 |
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/results/spaceship/choices/80449_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab05', u'part_number': 15, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'RKL', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/80449_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.269049401213,0.331870802022,0.283694768188,0.332150132976,0,0,1,1,0.936259993854,1,1,0.387663133085,0,0
3 | 2,0.259852586741,0.366120899657,0.264284006326,0.343874614775,0,1,1,1,0.414349130913,0,0,0.66504688199,0,0
4 | 3,0.284804035497,0.356597257278,0.286292851824,0.319308373665,1,1,1,1,0.342391268256,1,0,0.934461507625,0,0
5 | 4,0.279771517161,0.393982003623,0.307615749238,0.353610029916,0,1,1,1,0.265246834537,0,1,0.345207930727,1,0
6 | 5,0.294724467083,0.381687564191,0.290589205283,0.366988343654,0,0,1,0,0.353036085035,0,1,0.243814118992,1,0
7 | 6,0.275598459561,0.387068350574,0.270310067342,0.349480099044,1,1,0,0,0.227621403858,1,1,0.241012247698,1,0
8 | 7,0.261501148805,0.397510679497,0.256969924713,0.355705751687,1,0,0,1,0.368872604509,1,1,0.21692376145,0,0
9 | 8,0.253695263912,0.343741995398,0.29023912724,0.391917245281,1,0,1,1,0.304703352405,0,1,0.360636636354,0,0
10 | 9,0.268472882989,0.339482278527,0.256608215826,0.424801336275,1,1,1,0,0.283326481095,0,1,0.424714122796,1,0
11 | 10,0.258308531114,0.334280368384,0.294348488586,0.432249180862,0,1,0,1,0.141934311483,1,1,1.30461520907,1,0
12 |
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/results/spaceship/choices/81838_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab12', u'part_number': 10, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'JNB', u'spaceships': (u'X', u'Y')}
--------------------------------------------------------------------------------
/results/spaceship/choices/81838_practice.csv:
--------------------------------------------------------------------------------
1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.592122389376,0.473004553102,0.50914123168,0.296558986963,1,1,1,0,0.402162530922,0,1,0.424254215109,0,0
3 | 2,0.587530681659,0.413182100116,0.489644750762,0.308238249044,0,0,1,0,0.400399361866,0,0,0.41390129453,1,0
4 | 3,0.58464706658,0.4383690788,0.443852050256,0.29147581795,1,1,1,1,0.310012270642,1,1,0.616838702179,0,0
5 | 4,0.589228451472,0.43241380859,0.400146568932,0.287248338462,0,0,1,1,0.265052214375,1,0,0.569165822714,1,0
6 | 5,0.56595434328,0.439936546688,0.401020659366,0.277288791404,0,1,1,0,0.353417139959,1,0,0.305505488584,0,0
7 | 6,0.546993947625,0.417025789358,0.457522380629,0.273020983427,0,1,1,1,0.300315595488,0,0,0.383070739574,1,0
8 | 7,0.555909976813,0.420477339483,0.442858140898,0.299147586816,1,0,1,1,0.305893983461,0,0,0.383313435674,1,0
9 | 8,0.592976386991,0.423098356619,0.403558850664,0.307754304124,0,0,0,0,0.364835327376,1,1,0.517007593309,1,0
10 | 9,0.566689718956,0.451470701726,0.380101437853,0.315098121073,0,1,1,1,0.338518799137,0,0,0.378639422721,0,0
11 | 10,0.603636849185,0.452817274722,0.357517022202,0.311227963754,1,1,1,-1,-1,-1,-1,-1,(0,),1
12 | 11,0.597355229213,0.439129721819,0.370375874279,0.304726508231,1,0,1,0,0.365409768518,1,1,0.224858238612,1,0
13 |
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/results/spaceship/choices/94724_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab25', u'part_number': 6, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'75D', u'spaceships': (u'Y', u'X')}
--------------------------------------------------------------------------------
/results/spaceship/choices/95030_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab02', u'part_number': 16, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'KEY', u'spaceships': (u'Y', u'X')}
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/results/spaceship/choices/99686_info.txt:
--------------------------------------------------------------------------------
1 | {u'computer_name': 'EconBLULab08', u'part_number': 9, u'simultaneous': True, u'planets': (u'Black', u'Red'), u'part_code': u'RFW', u'spaceships': (u'X', u'Y')}
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/results/spaceship/choices/99686_practice.csv:
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1 | trial,rwrd_prob0,rwrd_prob1,rwrd_prob2,rwrd_prob3,symbol0,symbol1,common,choice1,rt1,final_state,choice2,rt2,reward,slow
2 | 1,0.345246550391,0.432312296598,0.559984109954,0.349196822451,1,0,1,1,0.308219728048,0,0,0.299060669781,0,0
3 | 2,0.352793808333,0.409387508481,0.557300748286,0.32041385143,1,1,1,0,0.302769028848,0,1,0.215330842379,1,0
4 | 3,0.323529901011,0.401829850713,0.5593994424,0.277644566515,0,1,0,1,0.205779365162,1,1,0.577018255933,0,0
5 | 4,0.310186661172,0.422596261139,0.580143830926,0.258837706541,1,1,1,0,0.36216948514,0,1,0.277314320937,1,0
6 | 5,0.311506960004,0.394485019066,0.627570774612,0.267414821622,0,1,1,0,0.155698255184,1,0,0.334956740339,0,0
7 | 6,0.288655909636,0.412585863504,0.610305776224,0.296363215241,1,1,1,0,0.202545833024,0,1,0.165853755721,0,0
8 | 7,0.287792692169,0.455940353578,0.60821588021,0.274405244912,0,0,1,0,0.1935286493,0,1,0.127379190808,0,0
9 | 8,0.277105357456,0.46584218323,0.573194125231,0.265058998587,1,0,1,1,0.013775112549,0,0,0.379533118046,0,0
10 | 9,0.25073419659,0.458817957851,0.568580412876,0.262007538816,0,0,0,1,0.241934432227,0,1,0.319857062907,0,0
11 | 10,0.306364246892,0.417882122299,0.597677121168,0.305263452748,0,1,1,0,0.0703012509712,1,0,0.161407950891,1,0
12 |
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/results/spaceship/questionnaires/01968_questionnaire.txt:
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1 | At first, I realised that the left obelisk on planet Black produces a lot of those stones. So as long as that worked, I chose that one. The first time that the left one on planet Black was empty, I changed to the red planet. There is wasn't too clear to me which had more - I chose the left one more I think, but it was not consistent. Sometimes, it changed from left to right on planet Red everytime. So when planet red was empty, I changed back to planet Black and tried the left obelisk. But to be really honest, I was not sure if what I was doing made any sense.
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/results/spaceship/questionnaires/05136_questionnaire.txt:
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1 | One I found a spot which was giving me a crystal I came back as often, as it stopped giving me crystals. Once it stopped, I went to other spots, until one gave me crystals again.
2 | When I was hindered on landing on a planet I went for a spot on the other planet, which gave me crystals most recently.
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/results/spaceship/questionnaires/12251_questionnaire.txt:
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1 | i started randomly. if i got the crystal in one side, i continued to make the same choice, otherwise i changed by choice.
2 |
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/results/spaceship/questionnaires/13442_questionnaire.txt:
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1 | If the place that I chosed to search was not empty, then I would come back again. If the next time was empty then I would choose to go to the other place on the same planet. In case of an asteroid, the choice on the other planet had no strategy, only luck.
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/results/spaceship/questionnaires/14972_questionnaire.txt:
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1 | I tried to find a qluster, but honestly each time I thouhgt I know how it works, I found out that I wasn't right. So over the time I approximatly tried out 10 different strageties. Over all I think that the were more diamonds on the black planet, than on the red. but I gave up counting, so that's just my personal opinion....
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/results/spaceship/questionnaires/19470_questionnaire.txt:
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1 | If I find a christal, I choose the same location until there is no christal. I used the emergency landings to explore new locations.
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/results/spaceship/questionnaires/21541_questionnaire.txt:
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1 | When a place had diamonds inside everytime, I returned to it. When it stopped having diamonds I scouted the other locations, but returned to the orgiginal good one to see if it started being good again (as the instructions said that the gamma radiation only changes slowly over time). I tried to always have an overiew over whether the left or right one on the respective planet was better.
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/results/spaceship/questionnaires/28896_questionnaire.txt:
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1 | In the first set of questions most of the crystals were on the left side of both red and black planet.
2 | In the second set of the questions most of the crystals were on the right side of both red and black planet.
3 | In the third set of question most of the crystals were on the right side of the red planet and on the left side of the black planet.
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/results/spaceship/questionnaires/36455_questionnaire.txt:
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1 | If I happend to choose the obeliks with the orbital, I usually would choose it also in the next round.
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/results/spaceship/questionnaires/36495_questionnaire.txt:
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1 | crystal apears in each side of each planet no more than 3. So for example, it has been in the left side of planet red for 2 times then the next fight I will choose another side, or another planet
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/results/spaceship/questionnaires/36848_questionnaire.txt:
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1 | if success: repeat until no success. after no success try again on the same chrystallis if then no success again try somewhere else
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/results/spaceship/questionnaires/45878_questionnaire.txt:
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1 | i clicked always the same way like i did before
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/results/spaceship/questionnaires/62517_questionnaire.txt:
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1 | Whenever I found a gem, I tried to go back to it. If this was not possible due to the asteroid clowds, I tended to go right on the other planet.
2 | When the obelisk was empty, I tried the other side of the planet and then tried to switch to the other planet and check there, always checked the right side first.
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/results/spaceship/questionnaires/65532_questionnaire.txt:
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1 | At the beginning all the spots had a crystal, so I visited all the spots once. Than I thougt that there might be a rotation of places where the crystal grows and I tried to visit them alternatively keeping in mind which spots seemed to have crystals that span faster. If I was unsuccessful I decided to visit the spots where I haven't been lately. I think the crystals were more frequent on the red planet but that might be just an impression. When the meteor shower countered my strategy I usually just made a random decison hoping for the best.
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/results/spaceship/questionnaires/67722_questionnaire.txt:
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1 | First: If I found a stone, I tried it again at the same place, as long as it was empty. If I didn't find one there, I used the other stone on the same planet. If both of them were empty, I changed the planet.
2 | After some time, I sticked to one of the stones of each planet (f.e. red - left and black - right). If it was empty, I changed the planet.
3 | Sometimes, when "all of them were empty", I chose just randomly until I found a stone and then used my old technique.
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/results/spaceship/questionnaires/73081_questionnaire.txt:
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1 | visit places where i found a diamond repetedly, if nothing found, randomly choose another location
2 |
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/results/spaceship/questionnaires/74476_questionnaire.txt:
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1 | Mostly if the left oberlisk on the black planet had a crystal the right oberlisk on the red planet also had an crystal and btween it changes.
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/results/spaceship/questionnaires/78906_questionnaire.txt:
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1 | Upon finding a crystal I returned to it until the obelisk was empty (let's say red-left). I then switched to the other planet and often also took the opposite road (black-right). When there was nothing to be found there, I switched back to the original planet but to other direction (red-right). When a cloud interrupted a "lucky streak" (say on black-left) but brought me to a crystal on the other planet (red-left) I didn't go back to the planet I was on before the cloud appeared. In general, when e.g. black-left had been fruitful for a while, I did not expect it to have crystals and rather chose black-right.
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/results/spaceship/questionnaires/80449_questionnaire.txt:
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1 | If, lets say, black and left was a crystal - I went there again.
2 | Also, black + left and red + right seemed to work best.
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/results/spaceship/questionnaires/81838_questionnaire.txt:
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1 | in general I just tried to go to the places where i previously found the most crystals. if that didnt work out i tried to look at all the other places before proceeding.
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/results/spaceship/questionnaires/99686_questionnaire.txt:
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1 | Basic not falling asleep tactics, aswell as random choices followed by chances
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1 | *.ttf
2 | results/*
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1 | "Game Instructions"
2 |
3 | "When the game starts, several months have passed since you took your practice flights, and the gamma radiation levels near each obelisk have changed."
4 | 1_astronaut
5 |
6 | "During the game, you will make 250 flights and get paid for each crystal you find."
7 | Ticket_[spaceship0][spaceship1]_[spaceship1]-[planet0]
8 |
9 | "The first step in each trip is to buy a ticket from the ticket machine. Information about the next departure will flash on the board above the machine. Pay attention to learn which spaceship will fly to which planet!"
10 | Ticket_[spaceship0][spaceship1]_[spaceship1]-[planet0]
11 |
12 | "As soon as the ticket machine’s buttons turn green, you have 2 seconds to buy your ticket using the left or right arrow key. Helpful messages will no longer appear."
13 | Ticket_[spaceship0][spaceship1]_[spaceship1]-[planet0]
14 | Ticket_EMPTY
15 | tickets_available
16 |
17 | "After that, you will usually fly to the planned destination …"
18 | SS_[spaceship0]_[planet1]_Left
19 |
20 | "… but in about 1 flight out of 3 an asteroid cloud will block your spaceship’s path and the spaceship will be forced to land on a different planet."
21 | SS_[spaceship0]_[planet0]_Right_Em
22 |
23 | "Asteroid clouds appear unpredictably and it is impossible to tell in advance when this will happen. They are equally likely to block both spaceships and planets."
24 | SS_[spaceship0]_[planet0]_Right_Em
25 |
26 | "You will then arrive on a planet. You should press the left arrow key to go to the left obelisk or the right arrow key to go to the right obelisk."
27 | choice2_[planet0]
28 | 2choice_green_arrows
29 |
30 | "Remember that when the gamma radiation levels near an obelisk are good for growing crystals, the obelisk will grow crystals faster and you will often find crystals there."
31 | Pillar_Crystal_[planet0]_Left
32 |
33 | "When the gamma radiation levels near an obelisk are bad for growing crystals, the obelisk will grow crystals slower and you will often find it empty."
34 | Pillar_Empty_[planet0]_Right
35 |
36 | "It’s hard to know when the gamma radiation levels will be good or bad, but if you can often find crystals inside an obelisk, the levels there are probably good at the moment."
37 | Pillar_Crystal_[planet1]_Right
38 |
39 | "The gamma radiation levels vary naturally from place to place, even on the same planet. Also, the levels change slowly with time."
40 | Pillar_Empty_[planet1]_Left
41 |
42 | "Each crystal is worth 1099 intergalactic gold coins (IGC) in the intergalactic market. Unfortunately, because of inflation, IGC 1099 in year 2376 is equal to only CHF 0.29 in year 2018, so this is what you’ll get for each crystal you find. Good luck finding them!"
43 | Pillar_Crystal_[planet1]_Right
44 |
45 | "If the word BREAK appears on the screen, you can take a short break. To continue the game after a break, press the space bar."
46 | break_screen
47 |
48 | "Before you start playing the game, you will take a short quiz on these instructions."
49 | quiz_screen
50 |
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/spaceship/quiz.py:
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1 | (
2 | (
3 | "Which planet is more likely to get blocked by an asteroid cloud?",
4 | """
5 | (a) Planet [planet0].
6 | (b) Planet [planet1].
7 | (c) Both planets are equally likely to get blocked by an asteroid cloud.
8 | """,
9 | 'c',
10 | 'c'
11 | ),
12 | (
13 | "Which spaceship is more likely to get blocked by an asteroid cloud?",
14 | """
15 | (a) Spaceship [spaceship0].
16 | (b) Spaceship [spaceship1].
17 | (c) Both spaceships are equally likely to get blocked by an asteroid cloud.
18 | """,
19 | 'c',
20 | 'c'
21 | ),
22 | (
23 | "How do the gamma radiation levels near an obelisk affect it?",
24 | """
25 | (a) The obelisk grows crystals faster when the levels are good.
26 | (b) Obelisks are not affected by gamma radiation.
27 | """,
28 | 'a',
29 | 'b'
30 | ),
31 | (
32 | "Where are you more likely to find a crystal?",
33 | """
34 | (a) On planet [planet0].
35 | (b) On planet [planet1].
36 | (c) It depends on the gamma radiation levels near each obelisk.
37 | """,
38 | 'c',
39 | 'c'
40 | ),
41 | (
42 | "How can you tell when the gamma radiation levels near an obelisk are good for crystals?",
43 | """
44 | (a) Gamma radiation is invisible, but when the levels are good, you are more likely to find a crystal.
45 | (b) The obelisk looks brighter when it is more radioactive.
46 | """,
47 | 'a',
48 | 'b'
49 | ),
50 | (
51 | "How do gamma radiation levels near an obelisk affect the other obelisk on the same planet?",
52 | """
53 | (a) They don’t affect the other obelisk, because radiation varies from place to place.
54 | (b) When levels are good near an obelisk, they are bad near the other obelisk.
55 | (c) When levels are good near an obelisk, they are also good near the other obelisk.
56 | """,
57 | 'a',
58 | 'c'
59 | ),
60 | (
61 | "How do asteroid clouds affect the gamma radiation levels on a planet?",
62 | """
63 | (a) Asteroid clouds increase the gamma radiation levels.
64 | (b) Asteroid clouds don’t affect the gamma radiation levels.
65 | (c) Asteroid clouds decrease the gamma radiation levels.
66 | """,
67 | 'b',
68 | 'c'
69 | ),
70 | )
71 |
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