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Can you guess the game you are playing?

  • Oechssler, Jorg
  • Schipper, Burkhard

Recently there has been much theoretical and experimental work on learning in games. However, learning usually means "learning about the strategic behavior of opponents" rather than "learning about the game" as such. In contrast, here we report on an experiment designed to test whether players learn a) the relevant features of the payoff structure of a 2x2 game (e.g. the best reply structure) and b) whether they play according to equilibrium predictions regardless of how question a) is being answered. Question a) is being tested by asking subjects to guess the payoff structure of their opponents in a repeated encounter and rewarding subjects for correct answers.

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Article provided by Elsevier in its journal Games and Economic Behavior.

Volume (Year): 43 (2003)
Issue (Month): 1 (April)
Pages: 137-152

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Handle: RePEc:eee:gamebe:v:43:y:2003:i:1:p:137-152
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622836

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  1. Sarin, Rajiv & Vahid, Farshid, 2001. "Predicting How People Play Games: A Simple Dynamic Model of Choice," Games and Economic Behavior, Elsevier, vol. 34(1), pages 104-122, January.
  2. Kalai, Ehud & Lehrer, Ehud, 1995. "Subjective games and equilibria," Games and Economic Behavior, Elsevier, vol. 8(1), pages 123-163.
  3. Drew Fudenberg & David K. Levine, 1998. "Learning in Games," Levine's Working Paper Archive 2222, David K. Levine.
  4. Fudenberg, Drew & Levine, David K, 1993. "Self-Confirming Equilibrium," Econometrica, Econometric Society, vol. 61(3), pages 523-45, May.
  5. Osborne, Martin J & Rubinstein, Ariel, 1998. "Games with Procedurally Rational Players," American Economic Review, American Economic Association, vol. 88(4), pages 834-47, September.
  6. Sarin, Rajiv & Vahid, Farshid, 1999. "Payoff Assessments without Probabilities: A Simple Dynamic Model of Choice," Games and Economic Behavior, Elsevier, vol. 28(2), pages 294-309, August.
  7. Hitoshi Matsushima, 1998. "Towards a Theory of Subjective Games," CIRJE F-Series CIRJE-F-9, CIRJE, Faculty of Economics, University of Tokyo.
  8. Sethi, Rajiv, 2000. "Stability of Equilibria in Games with Procedurally Rational Players," Games and Economic Behavior, Elsevier, vol. 32(1), pages 85-104, July.
  9. Costa-Gomes, Miguel & Crawford, Vincent P. & Broseta, Bruno, 1998. "Cognition and Behavior in Normal-Form Games: An Experimental Study," University of California at San Diego, Economics Working Paper Series qt1vn4h7x5, Department of Economics, UC San Diego.
  10. 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.
  11. Steffen Huck & Rajiv Sarin, 2000. "Players with Limited Memory," Econometric Society World Congress 2000 Contributed Papers 1645, Econometric Society.
  12. Hitoshi Matsushima, 1998. "Learning about Stochastic Payoff Structures," CIRJE F-Series CIRJE-F-7, CIRJE, Faculty of Economics, University of Tokyo.
  13. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, June.
  14. Abbink, Klaus & Abdolkarim Sadrieh, 1995. "RatImage - research Assistance Toolbox for Computer-Aided Human Behavior Experiments," Discussion Paper Serie B 325, University of Bonn, Germany.
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