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Evidence based rules and learning in symmetric normal-form games

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Author Info
Dale O. Stahl () (Department of Economics, University of Texas, Austin, TX 78712, USA)
Abstract

We put forth a general theory of boundedly rational behavior and learning for symmetric normal-form games with unique symmetric Nash equilibria. A class of evidence-based behavioral rules is specified, which includes best-responding to a prior and Nash play. A player begins with initial propsenities towards the rules, and given experience over time adjusts his/her propensities in proportion to the past performance of the rules. We focus on scenarios in which the past distribution of play is revealed to all players. Confronting this theory with experimental data, we find significant support for rule learning and heterogeneity among participants.

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Publisher Info
Article provided by Springer in its journal International Journal of Game Theory.

Volume (Year): 28 (1999)
Issue (Month): 1 ()
Pages: 111-130
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Handle: RePEc:spr:jogath:v:28:y:1999:i:1:p:111-130

Note: Received June 1996/Final version April 1997
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Related research
Keywords: Learning · rules · experimental;

Cited by:
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  1. Anna Gunnthorsdottir & Amnon Rapoport, 2003. "The effect of sharing rules on group competition," Experimental 0307003, EconWPA. [Downloadable!]
  2. Camerer, Colin & Hsia, David & Ho, Tech-Hua., 2000. "EWA Learning in Bilateral Call Markets," Working Papers 1098, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
  3. Nobuyuki Hanaki & Rajiv Sethi & Ido Erev & Alexander Peterhansl, 2002. "Learning Strategies," Game Theory and Information 0211004, EconWPA. [Downloadable!]
    Other versions:
  4. Fabrizio Germano, 2007. "Stochastic Evolution of Rules for Playing Finite Normal Form Games," Theory and Decision, Springer, vol. 62(4), pages 311-333, May. [Downloadable!] (restricted)
  5. Miguel Costa-Gomes & Vincent P. Crawford & Bruno Broseta, . "Cognition and Behavior in Normal-Form Games:An Experimental Study," Discussion Papers 00/45, Department of Economics, University of York. [Downloadable!]
    Other versions:
  6. Nicole Marie Bouchez, 2001. "What Learning Models Tell Us to Expect in Three-by-Three Bimatrix Games," Royal Holloway, University of London: Discussion Papers in Economics 00/3, Department of Economics, Royal Holloway University of London, revised Feb 2001. [Downloadable!]
  7. Markus Pasche, 2008. "Zum Erklärungsgehalt der verhaltensorientierten Spieltheorie," Jena Research Papers in Business and Economics - Working and Discussion Papers 04/2008, Friedrich-Schiller-University Jena, School of Economics and Business Administration. [Downloadable!]
  8. Timothy Salmon, 2004. "Evidence for Learning to Learn Behavior in Normal Form Games," Theory and Decision, Springer, vol. 56(4), pages 367-404, 04. [Downloadable!] (restricted)
  9. repec:att:wimass:1919982 is not listed on IDEAS
  10. Yoella Bereby-Meyer & Alvin E. Roth, 2006. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation," American Economic Review, American Economic Association, vol. 96(4), pages 1029-1042, September. [Downloadable!]
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