• DocumentCode
    1874071
  • Title

    Iterated Prisoner´s Dilemma for species

  • Author

    Hingston, Philip

  • Author_Institution
    Comput. Sci. with the Sch. of Comput. & Security Sci., Edith Cowan Univ., WA, Australia
  • fYear
    2009
  • fDate
    7-10 Sept. 2009
  • Firstpage
    17
  • Lastpage
    24
  • Abstract
    The Iterated Prisoner´s Dilemma (IPD) is widely used to study the evolution of cooperation between self-interested agents. Existing work asks how genes that code for cooperation arise and spread through a single-species population of IPD playing agents. In this paper, we focus on competition between different species of agents. Making this distinction allows us to separate and examine macroevolutionary phenomena. We illustrate with some species-level simulation experiments with agents that use well-known strategies, and with species of agents that use team strategies.
  • Keywords
    game theory; IPD playing agents; iterated prisoner dilemma; macroevolutionary phenomena; self-interested agents; single-species population; species-level simulation experiment; team strategies; Biological system modeling; Evolution (biology); Floods; Game theory; Gold; History; Humans; Organisms; Psychology; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on
  • Conference_Location
    Milano
  • Print_ISBN
    978-1-4244-4814-2
  • Electronic_ISBN
    978-1-4244-4815-9
  • Type

    conf

  • DOI
    10.1109/CIG.2009.5286498
  • Filename
    5286498