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Learning Under Little Information: An Experiment on Mutual Fate Control

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  • Atanasios Mitropoulos

    (Otto-von-Guericke-University Magdeburg)

Abstract

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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File URL: http://128.118.178.162/eps/game/papers/0110/0110003.pdf
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Bibliographic Info

Paper provided by EconWPA in its series Game Theory and Information with number 0110003.

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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
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Web page: http://128.118.178.162

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Keywords: mutual fate control; learning; coordination; experimental economics; coordination failure;

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References

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Citations

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Cited by:
  1. Mitropoulos, Atanasios, 2003. "An experiment on the value of structural information in a 2 x 2 repeated game," Economics Letters, Elsevier, vol. 78(1), pages 27-32, January.
  2. Andreas Nicklisch, 2004. "Perceiving strategic environments -An experimental study of strategy formation and transfer-," Papers on Strategic Interaction 2004-26, Max Planck Institute of Economics, Strategic Interaction Group.
  3. Andreas Nicklisch, 2006. "Perceiving strategic environments: An experimental study of learning under minimal information," Working Paper Series of the Max Planck Institute for Research on Collective Goods 2006_17, Max Planck Institute for Research on Collective Goods.
  4. Atanasios Mitropoulos, 2001. "On the Measurement of the Predictive Success of Learning Theories in Repeated Games," Experimental 0110001, EconWPA.

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