Learning IPD Strategies Through Co-evolution

Siang Yew Chong, Jan Humble, Graham Kendall, Jiawei Li and Xin Yao
Additional contact information
Siang Yew Chong: Scholl of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK
Jan Humble: School of Computer Science and Information Technology, University of Nottingham, Nottingham, NG8 1BB, UK
Graham Kendall: School of Computer Science and Information Technology, University of Nottingham, Nottingham, NG8 1BB, UK
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
Xin Yao: Scholl of Computer Science, University of Birmingham, Birmingham, B15 2TT, UK

Chapter 3 in The Iterated Prisoners' Dilemma:20 Years On, 2007, pp 63-87 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThe following sections are included:IntroductionCo-evolving Strategies for the IPD GameCo-evolutionary Learning FrameworkShadow of the FutureIssues for Co-evolutionary Learning of IPD StrategiesExtending the IPD GameExtending the IPD with More ChoicesIPD with NoiseN-Player IPDOther ExtensionsConclusion and Future DirectionsReferences

Keywords: Iterated Prisoners Dilemma; Game Theory; Cooperation; Defection; Competition; Axelrod (search for similar items in EconPapers)
JEL-codes: C1 C5 C7 (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (1)

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