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Learning Under Little Information: An Experiment on Mutual Fate Control

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Author Info
Atanasios Mitropoulos (Otto-von-Guericke-University Magdeburg)

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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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Publisher 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
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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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Related research
Keywords: mutual fate control learning coordination experimental economics coordination failure

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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.:
  1. Milgrom, Paul & Roberts, John, 1990. "Rationalizability, Learning, and Equilibrium in Games with Strategic Complementarities," Econometrica, Econometric Society, vol. 58(6), pages 1255-77, November. [Downloadable!] (restricted)
  2. Milgrom, Paul & Roberts, John, 1991. "Adaptive and sophisticated learning in normal form games," Games and Economic Behavior, Elsevier, vol. 3(1), pages 82-100, February. [Downloadable!] (restricted)
  3. Hon-Snir, Shlomit & Monderer, Dov & Sela, Aner, 1998. "A Learning Approach to Auctions," Journal of Economic Theory, Elsevier, vol. 82(1), pages 65-88, September. [Downloadable!] (restricted)
  4. Huck, Steffen & Normann, Hans-Theo & Oechssler, Jorg, 2000. "Does information about competitors' actions increase or decrease competition in experimental oligopoly markets?," International Journal of Industrial Organization, Elsevier, vol. 18(1), pages 39-57, January. [Downloadable!] (restricted)
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  5. John Duffy & Nick Feltovich, 1997. "Does Observation of Others Affect Learning in Strategic Environments? An Experimental Study," Levine's Working Paper Archive 592, UCLA Department of Economics. [Downloadable!]
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  6. Rosemarie Nagel & Nicolaas J. Vriend, 1997. "An Experimental Study of Adaptive Behavior in an Oligopolistic Market Game," Economics Working Papers 230, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
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  7. Conlisk, John, 1993. "Adaptive tactics in games : Further solutions to the Crawford puzzle," Journal of Economic Behavior & Organization, Elsevier, vol. 22(1), pages 51-68, September. [Downloadable!] (restricted)
  8. Cross, John G, 1973. "A Stochastic Learning Model of Economic Behavior," The Quarterly Journal of Economics, MIT Press, vol. 87(2), pages 239-66, May. [Downloadable!] (restricted)
  9. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September. [Downloadable!] (restricted)
  10. Barry Sopher & Dilip Mookherjee, 1997. "Learning and Decision Costs in Experimental Constant Sum Games," Departmental Working Papers 199527, Rutgers University, Department of Economics.
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  11. Mookherjee Dilip & Sopher Barry, 1994. "Learning Behavior in an Experimental Matching Pennies Game," Games and Economic Behavior, Elsevier, vol. 7(1), pages 62-91, July. [Downloadable!] (restricted)
  12. Cheung, Yin-Wong & Friedman, Daniel, 1997. "Individual Learning in Normal Form Games: Some Laboratory Results," Games and Economic Behavior, Elsevier, vol. 19(1), pages 46-76, April. [Downloadable!] (restricted)
  13. Crawford, Vincent P, 1995. "Adaptive Dynamics in Coordination Games," Econometrica, Econometric Society, vol. 63(1), pages 103-43, January. [Downloadable!] (restricted)
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  14. Steffen Huck & Hans-Theo Normann & Joerg Oechssler, 1997. "Learning in Cournot Oligopoly - An Experiment," Game Theory and Information 9707009, EconWPA, revised 22 Jul 1997. [Downloadable!]
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  15. Borgers, Tilman & Sarin, Rajiv, 1997. "Learning Through Reinforcement and Replicator Dynamics," Journal of Economic Theory, Elsevier, vol. 77(1), pages 1-14, November. [Downloadable!] (restricted)
  16. Kalai, Ehud & Lehrer, Ehud, 1993. "Subjective Games and Equilibria," Working Papers 875, California Institute of Technology, Division of the Humanities and Social Sciences. [Downloadable!]
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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. 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. [Downloadable!]
  2. Atanasios Mitropoulos, 2001. "On the Measurement of the Predictive Success of Learning Theories in Repeated Games," Experimental 0110001, EconWPA. [Downloadable!]
  3. Atanasios Mitropoulos, 2002. "An Experiment on the Value of Structural Information in a 2x2 Repeated Game," Game Theory and Information 0202002, EconWPA. [Downloadable!]
  4. Andreas Nicklisch, 2004. "Perceiving strategic environments -An experimental study of strategy formation and transfer-," Discussion Papers on Strategic Interaction 2004-26, Max Planck Institute of Economics, Strategic Interaction Group. [Downloadable!]
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