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Cooperation And Competition: Learning Of Strategies And Evolution Of Preferences In Prisoners' Dilemma And Hawk-Dove Games

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  • ALEX POSSAJENNIKOV

    (School of Economics, University of Nottingham, University Park, Nottingham NG7 2RD, Britain, UK)

Abstract

By means of simulations I investigate a two-speed dynamic on strategies and preferences in prisoners' dilemmas and in hawk-dove games. Players learn strategies according to their preferences while evolution leads to a change in the preference composition. With complete information about the preferences of the opponent, cooperation in prisoners' dilemmas is achieved temporarily, with "reciprocal" preferences. In hawk-dove games, a symmetric correlated strategy profile is played that does not place any weight on mutual restraint. Among preferences only "hawkish" preferences and "selfish" preferences survive. With incomplete information, the symmetric equilibrium of the game is played. In prisoners' dilemmas only "selfish" and "reciprocal" preferences survive. In hawk-dove games all preferences are present in the medium run.

Suggested Citation

  • Alex Possajennikov, 2005. "Cooperation And Competition: Learning Of Strategies And Evolution Of Preferences In Prisoners' Dilemma And Hawk-Dove Games," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 7(04), pages 443-459.
    • Handle: RePEc:wsi:igtrxx:v:07:y:2005:i:04:n:s0219198905000636
    DOI: 10.1142/S0219198905000636
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    References listed on IDEAS

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    1. Alex Possajennikov, 2004. "Two-Speed Evolution of Strategies and Preferences In Symmetric Games," Theory and Decision, Springer, vol. 57(3), pages 227-263, November.
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    Cited by:

    1. Jean Rabanal & Daniel Friedman, 2014. "Incomplete Information, Dynamic Stability and the Evolution of Preferences: Two Examples," Dynamic Games and Applications, Springer, vol. 4(4), pages 448-467, December.

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    More about this item

    Keywords

    Two-speed evolution; simulations; best response learning; replicator dynamic; JEL Code: C72;
    All these keywords.

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C0 - Mathematical and Quantitative Methods - - General
    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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