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How to Design a Strategy to Win an IPD Tournament

In: The Iterated Prisoners' Dilemma 20 Years On

Author

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  • Jiawei Li

    (School of Computer Science and Information Technology, University of Nottingham, Nottingham, NG8 1BB, UK and Robot Institute, Harbin Institute of Technology, Heilongjiang, 150001, P. R. China)

Abstract

The following sections are included:IntroductionAnalysis of strategies involved in IPD gamesEstimation of possible strategies in an IPD tournamentInteraction with a strategy optimallyEscape from the trap of defectionAdaptive Pavlov and Competition 4 of 2005 IPD tournamentDiscussion and conclusionReferences

Suggested Citation

  • Jiawei Li, 2007. "How to Design a Strategy to Win an IPD Tournament," World Scientific Book Chapters, in: The Iterated Prisoners' Dilemma 20 Years On, chapter 4, pages 89-104, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812770684_0004
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    Citations

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    Cited by:

    1. Chen, Shu-Heng, 2012. "Varieties of agents in agent-based computational economics: A historical and an interdisciplinary perspective," Journal of Economic Dynamics and Control, Elsevier, vol. 36(1), pages 1-25.
    2. Marc Harper & Vincent Knight & Martin Jones & Georgios Koutsovoulos & Nikoleta E Glynatsi & Owen Campbell, 2017. "Reinforcement learning produces dominant strategies for the Iterated Prisoner’s Dilemma," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-33, December.

    More about this item

    Keywords

    Iterated Prisoners Dilemma; Game Theory; Cooperation; Defection; Competition; Axelrod;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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