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NIPS
2008

Bayesian Model of Behaviour in Economic Games

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Bayesian Model of Behaviour in Economic Games
Classical game theoretic approaches that make strong rationality assumptions have difficulty modeling human behaviour in economic games. We investigate the role of finite levels of iterated reasoning and non-selfish utility functions in a Partially Observable Markov Decision Process model that incorporates game theoretic notions of interactivity. Our generative model captures a broad class of characteristic behaviours in a multi-round Investor-Trustee game. We invert the generative process for a recognition model that is used to classify 200 subjects playing this game against randomly matched opponents.
Debajyoti Ray, Brooks King-Casas, P. Read Montague
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where NIPS
Authors Debajyoti Ray, Brooks King-Casas, P. Read Montague, Peter Dayan
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