Bergwerff, G.R. (2014) Using intrinsic complexity of turn-taking games to predict people’s reasoning strategies. Bachelor's Thesis, Artificial Intelligence.
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Abstract
We studied the cognitive strategy participants use while playing the Marble Drop Game. The Mar- ble Drop Game is a turn-based game designed to investigate higher-order social reasoning. We ana- lyzed different strategies by fitting models contain- ing different strategies that participants could use for solving the games. We compare all models with actual reaction times of participants using goodness of fit. This results in one model that best explains the reaction times of the participants, and thus is a good explanation for the strategy participants use. We found that the model of a combination of for- ward reasoning and backward induction is the best predictor for the complexity of the games for par- ticipants and thus for the reasoning strategy that participants use.
| Item Type: | Thesis (Bachelor's Thesis) |
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| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:56 |
| Last Modified: | 15 Feb 2018 07:56 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/11583 |
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