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  Bayesian Model of Behaviour in Economic Games

Ray, D., King-Casas, B., Montague, P., & Dayan, P. (2009). Bayesian Model of Behaviour in Economic Games. In D. Koller, Y. Bengio, & L. Bottou (Eds.), Advances in neural information processing systems 21 (pp. 1348-1355). Red Hook, NY, USA: Curran.

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 Creators:
Ray, D, Author
King-Casas, B, Author
Montague, PR, Author
Dayan, P1, Author              
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: 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 no- tions of interactivity. Our generative model captures a broad class of characteristic behaviours in a multi-round Investor-Trustee game. We invert the generative pro- cess for a recognition model that is used to classify 200 subjects playing this game against randomly matched opponents.

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 Dates: 2009-06
 Publication Status: Published in print
 Pages: -
 Publishing info: -
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 Rev. Type: -
 Identifiers: -
 Degree: -

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Title: Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008)
Place of Event: Vancouver, BC, Canada
Start-/End Date: 2008-12-08 - 2008-12-10

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Title: Advances in neural information processing systems 21
Source Genre: Proceedings
 Creator(s):
Koller, D, Editor
Schuurmans, D, Painter
Bengio, Y, Editor
Bottou, L, Editor
Affiliations:
-
Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1348 - 1355 Identifier: ISBN: 978-1-60560-949-2