• DocumentCode
    2913106
  • Title

    Evolving diverse populations of Prisoner’s Dilemma strategies

  • Author

    Ashlock, Wendy

  • Author_Institution
    Dept. of Math. & Stat., Univ. of Guelph, Guelph, ON
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1625
  • Lastpage
    1632
  • Abstract
    It is common for evolved populations of Iterated prisonerpsilas dilemma to become homogenous with most of the strategies either identical or similar to each other. As fitness is usually based on play with other members of the population, this favors the evolution of strategies which score well when playing themselves or close mutants of themselves. Also, populations tend to change considerably over time. New strategies arise and take over. A population consisting entirely of a highly cooperative strategy like tit-for-tat can become a population consisting entirely of a highly uncooperative strategy like always-defect. This study uses an experimental setup which incorporates geography in an attempt to evolve a diversity of coexisting strategies. The resulting populations are analyzed using prisonerpsilas dilemma fingerprints and found to be both diverse and ldquostablerdquo in the sense that they remain highly cooperative over time.
  • Keywords
    evolutionary computation; game theory; always-defect; cooperative strategy; diverse populations; highly uncooperative strategy; prisoner dilemma fingerprints; tit-for-tat; Evolutionary computation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631009
  • Filename
    4631009