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Opponent Modelling, Evolution, and the Iterated Prisoner ' s Dilemma

In: The Iterated Prisoners' Dilemma 20 Years On

Author

Listed:
  • Philip Hingston

    (School of Computer and Information Science, Edith Cowan University - Mt Lawley Campus, 2 Bradford Street, Mt Lawley, WA 6050, Australia)

  • Dan Dyer

    (Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia)

  • Luigi Barone

    (Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia)

  • Tim French

    (Department of Computer Science and Software Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia)

  • Graham Kendall

    (School of Computer Science and Information Technology, The University of Nottingham, Nottingham, NG8 1BB, UK)

Abstract

The following sections are included:IntroductionOpponent modellingModeller, the competition entryAnatomy of the modellerCompetition performanceOpponent Modelling Versus EvolutionThe new experimentsConclusionsReferences

Suggested Citation

  • Philip Hingston & Dan Dyer & Luigi Barone & Tim French & Graham Kendall, 2007. "Opponent Modelling, Evolution, and the Iterated Prisoner ' s Dilemma," World Scientific Book Chapters, in: The Iterated Prisoners' Dilemma 20 Years On, chapter 7, pages 139-170, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789812770684_0007
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    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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