• DocumentCode
    579594
  • Title

    From competition to cooperation: Co-evolution in a rewards continuum

  • Author

    Ashlock, Daniel ; Ashlock, Wendy ; Samothrakis, Spyridon ; Lucas, Simon ; Lee, Colin

  • Author_Institution
    Dept. of Math. & Stat., Univ. of Guelph, Guelph, ON, Canada
  • fYear
    2012
  • fDate
    11-14 Sept. 2012
  • Firstpage
    33
  • Lastpage
    40
  • Abstract
    In this study the hypothesis that zero-sum (i.e strictly competitive) games are more difficult targets for co-evolution than non-zero-sum (i.e. games that are not strictly competitive nor strictly cooperative) games is examined. Our method is to compare the co-evolutionary behavior of a three move zero-sum game (rock paper scissors) with that of a three move non-zero-sum game (coordination prisoner´s dilemma) as well as with intermediate games obtained using weighted averages of the games´s payoff matrices. The games are compared by examining the way use of moves evolves, by using transitivity measures on evolved agents, by estimating the complexity of the agents and by checking for non-local adaptation. Two different agent representations, finite state machines with 8 and 64 states, are used. Unexpectedly, these two representations are found to have large, qualitative differences. The results support the hypothesis that co-evolving good strategies for zero-sum games is more difficult than for non-zero-sum games. Many of the measurements used to compare different games are found to exhibit a nonlinear responses to the change in payoff matrix.
  • Keywords
    finite state machines; game theory; matrix algebra; multi-agent systems; agent complexity; agent representations; co-evolutionary behavior; competition; cooperation; coordination prisoner dilemma; evolved agents; finite state machines; games payoff matrices; intermediate games; moves evolves; nonlocal adaptation; nonzero-sum games; rewards continuum; rock paper scissors; three move zero-sum game; transitivity measures; Complexity theory; Entropy; Game theory; Games; Sociology; Statistics; Transient analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2012 IEEE Conference on
  • Conference_Location
    Granada
  • Print_ISBN
    978-1-4673-1193-9
  • Electronic_ISBN
    978-1-4673-1192-2
  • Type

    conf

  • DOI
    10.1109/CIG.2012.6374135
  • Filename
    6374135