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Learning games

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Author Info

  • Hanaki, Nobuyuki
  • Ishikawa, Ryuichiro
  • Akiyama, Eizo

Abstract

This paper presents a model of learning about a game. Players initially have little knowledge about the game. Through playing the same game repeatedly, each player not only learns which action to choose but also constructs a personal view of the game. The model is studied using a hybrid payoff matrix of the prisoner's dilemma and coordination games. Results of computer simulations show that (1) when all the players are slow at learning the game, they have only a partial understanding of the game, but might enjoy higher payoffs than in cases with full or no understanding of the game; (2) when one player is quick in learning the game, that player obtains a higher payoff than the others. However, all can receive lower payoffs than in the case in which all players are slow learners.

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File URL: http://www.sciencedirect.com/science/article/B6V85-4W1SRKP-2/2/0e351e1c4a4ac019be7e885a048c2780
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Bibliographic Info

Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 33 (2009)
Issue (Month): 10 (October)
Pages: 1739-1756

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Handle: RePEc:eee:dyncon:v:33:y:2009:i:10:p:1739-1756

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Web page: http://www.elsevier.com/locate/jedc

Related research

Keywords: Learning Subjective views Computer simulation;

References

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  1. Mookherjee, Dilip & Sopher, Barry, 1997. "Learning and Decision Costs in Experimental Constant Sum Games," Games and Economic Behavior, Elsevier, vol. 19(1), pages 97-132, April.
  2. V. Crawford, 2010. "Adaptive Dynamics in Coordination Games," Levine's Working Paper Archive 404, David K. Levine.
  3. Josephson, Jens, 2001. "A Numerical Analysis of the Evolutionary Stability of Learning Rules," Working Paper Series in Economics and Finance 474, Stockholm School of Economics.
  4. Arifovic, Jasmina & McKelvey, Richard D. & Pevnitskaya, Svetlana, 2006. "An initial implementation of the Turing tournament to learning in repeated two-person games," Games and Economic Behavior, Elsevier, vol. 57(1), pages 93-122, October.
  5. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, December.
  6. Kaneko, Mamoru & Kline, J. Jude, 2008. "Inductive game theory: A basic scenario," Journal of Mathematical Economics, Elsevier, vol. 44(12), pages 1332-1363, December.
  7. 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.
  8. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
  9. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
  10. Waltman, Ludo & Kaymak, Uzay, 2008. "Q-learning agents in a Cournot oligopoly model," Journal of Economic Dynamics and Control, Elsevier, vol. 32(10), pages 3275-3293, October.
  11. McKelvey Richard D. & Palfrey Thomas R., 1995. "Quantal Response Equilibria for Normal Form Games," Games and Economic Behavior, Elsevier, vol. 10(1), pages 6-38, July.
  12. Brock, William A. & Hommes, Cars H., 1998. "Heterogeneous beliefs and routes to chaos in a simple asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1235-1274, August.
  13. Jörg Oechssler & Burkhard C. Schipper, 2000. "Can You Guess the Game You're Playing?," Bonn Econ Discussion Papers bgse11_2000, University of Bonn, Germany.
  14. 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.
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Citations

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Cited by:
  1. Mamoru Kaneko, 2013. "Symposium: logic and economics—interactions between subjective thinking and objective worlds," Economic Theory, Springer, vol. 53(1), pages 1-8, May.
  2. Nathan Berg & Ulrich Hoffrage & Katarzyna Abramczuk, 2010. "Fast Acceptance by Common Experience - FACE-recognition in Schelling's model of neighborhood segregation," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 391-410, August.

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