Modeling deep strategic reasoning by humans in competitive games

  • Authors:
  • Xia Qu;Prashant Doshi;Adam Goodie

  • Affiliations:
  • University of Georgia, Athens, GA;University of Georgia, Athens, GA;University of Georgia, Athens, GA

  • Venue:
  • Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
  • Year:
  • 2012

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Abstract

The prior literature on strategic reasoning by humans of the sort, what do you think that I think that you think, is that humans generally do not reason beyond a single level. However, recent evidence suggests that if the games are made competitive and therefore representationally simpler, humans generally exhibited behavior that was more consistent with deeper levels of recursive reasoning. We seek to computationally model behavioral data that is consistent with deep recursive reasoning in competitive games. We use generative, process models built from agent frameworks that simulate the observed data well and also exhibit psychological intuition.