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Evidence for Learning to Learn Behavior in Normal Form Games

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Author Info
Timothy Salmon ()

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Abstract

Evidence presented in Salmon (2001; Econometrica 69(6) 1597) indicates that typical tests to identify learning behavior in experiments involving normal form games possess little power to reject incorrect models. This paper begins by presenting results from an experiment designed to gather alternative data to overcome this problem. The results from these experiments indicate support for a learning-to-learn or rule learning hypothesis in which subjects change their decision rule over time. These results are then used to construct an adaptive learning model which is intended to mimic more accurately the behavior observed. The final section of the paper presents results from a simple simulation based analysis comparing the performance of this adaptive learning model with that of several standard decision rules in reproducing the choice patterns observed in the experiment. Copyright Kluwer Academic Publishers 2004

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File URL: http://hdl.handle.net/10.1007/s11238-004-8736-2
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Publisher Info
Article provided by Springer in its journal Theory and Decision.

Volume (Year): 56 (2004)
Issue (Month): 4 (04)
Pages: 367-404
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Handle: RePEc:kap:theord:v:56:y:2004:i:4:p:367-404

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Web page: http://www.springerlink.com/link.asp?id=100341

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Related research
Keywords: Fictitious play; learning in games; Reinforcement learning;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Sergiu Hart & Andreu Mas-Colell, 1996. "A Simple Adaptive Procedure Leading to Correlated Equilibrium," Economics Working Papers 200, Department of Economics and Business, Universitat Pompeu Fabra, revised Dec 1996. [Downloadable!]
    Other versions:
  2. Nathaniel T Wilcox, 2003. "Heterogeneity and Learning Principles," Levine's Bibliography 666156000000000435, UCLA Department of Economics. [Downloadable!]
  3. Dale O. Stahl, 1999. "Evidence based rules and learning in symmetric normal-form games," International Journal of Game Theory, Springer, vol. 28(1), pages 111-130. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. 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!]
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This page was last updated on 2009-11-8.

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