• DocumentCode
    587339
  • Title

    Co-evolutionary learning in the N-choice IPD game with PSO algorithm

  • Author

    Xiaoyang Wang ; Yang Yi ; Huiyou Chang ; Yibin Lin

  • Author_Institution
    Bus. Sch., Sun-Yat Sen Univ., Guangzhou, China
  • fYear
    2012
  • fDate
    5-9 Nov. 2012
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    A particle swarm optimization (PSO) approach towards the development of strategy co-evolution for multiple choices IPD game is presented. It is demonstrated that, birds can play IPD with multiple choices, and the co-evolutionary behaviors are influenced by social environment.
  • Keywords
    algorithm theory; evolutionary computation; game theory; particle swarm optimisation; N-choice IPD game; PSO algorithm; coevolutionary behaviors; coevolutionary learning; particle swarm optimization; social environment; Educational institutions; Electronic mail; Evolution (biology); Games; Sociology; Statistics; IPD; PSO; co-evolution; multiple choices; social;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nature and Biologically Inspired Computing (NaBIC), 2012 Fourth World Congress on
  • Conference_Location
    Mexico City
  • Print_ISBN
    978-1-4673-4767-9
  • Type

    conf

  • DOI
    10.1109/NaBIC.2012.6402245
  • Filename
    6402245
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=587339