Reinforcement learning has proved quite successful in predicting subjects' adjustment behaviour in repeatedly played simple games. However, reinforcement learning does not predict convergence to the efficient cell in the minimal information game of mutual fate control, while earlier psychologists' experiments show some tendency to convergence. Our rivalling learning rule, a modification of win-stay lose-change, does predict convergence. We perform an experiment using modern economic methodology and compare these two learning rules. Our results are unfavourable for both reinforcement learning as well as win- stay lose-change. The data rather support the view that subjects search by using patterns.
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Length: 33 pages Date of creation: 18 Oct 2001 Date of revision: Handle: RePEc:wpa:wuwpga:0110003
Note: Type of Document - Acrobat PDF; prepared on IBM PC - MS-Word; to print on HP A4 size; pages: 33; figures: included. revised version appeared in the Journal of Economic Psychology 22 (2001) 523-557 Contact details of provider: Web page: http://129.3.20.41
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Find related papers by JEL classification: C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
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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.:
Kalai, Ehud & Lehrer, Ehud, 1993.
"Subjective Games and Equilibria,"
Working Papers
875, California Institute of Technology, Division of the Humanities and Social Sciences.
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