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Behavioral Game Theory: Thinking, Learning and Teaching

Camerer, Colin F. and Ho, Teck-Hua and Chong, Juin Kuan (2001) Behavioral Game Theory: Thinking, Learning and Teaching. Social Science Working Paper, California Institute of Technology , Pasadena, CA. (Unpublished)

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Game theory is a mathematical system for analysing and predicting how humans behave in strategic situations. Standard equilibrium analyses assume that all players: (1) form beliefs based on an analysis of what others might do (strategic thinking); (2) choose the best response given those beliefs (optimization); and (3) adjust best responses and beliefs until they are mutually consistent (equilibrium).

Item Type:Report or Paper (Working Paper)
Related URLs:
URLURL TypeDescription Paper
Camerer, Colin F.0000-0003-4049-1871
Ho, Teck-Hua0000-0001-5210-4977
Chong, Juin Kuan0000-0002-5187-8652
Additional Information:This research was supported by NSF grants SBR 9730364, SBR 9730187 and SES-0078911. Thanks to many people for helpful comments on this research, particularly Caltech colleagues (especially Richard McKelvey, Tom Palfrey and Charles Plott), Mónica Capra, Vince Crawford, John Duffy, Drew Fudenberg, John Kagel, members of the MacArthur Preferences Network, our research assistants and collaborators Dan Clendenning, Graham Free, David Hsia, Ming Hsu, Hongjai Rhee and Xin Wang, and seminar audience members and referees (especially two for this book) too numerous to mention. Dan Levin gave the shooting-ahead military example of sophistication. Dave Cooper, Ido Erev and Guillaume Frechette wrote helpful emails.
Group:Social Science Working Papers
Funding AgencyGrant Number
Subject Keywords:experimental economics, game theory, behavioral game theory, bounded rationality, behavioral economics, learning
Series Name:Social Science Working Paper
Classification Code:JEL Classifications: C7, C9
Record Number:CaltechAUTHORS:20110204-094426039
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:22008
Deposited By: Tony Diaz
Deposited On:02 Mar 2011 20:25
Last Modified:01 Jul 2020 22:51

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