• DocumentCode
    1795838
  • Title

    The evolution of exploitation

  • Author

    Ashlock, Wendy ; Tsang, Jeffrey ; Ashlock, Daniel

  • Author_Institution
    Dept. of Biol., York Univ., Toronto, ON, Canada
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    135
  • Lastpage
    142
  • Abstract
    The evolution of cooperation has been much studied in the context of the game of iterated prisoner´s dilemma. This paper examines, instead, the evolution of exploitation, strategies that succeed at the expense of their opponent. Exploitation is studied when opponents are close kin, against other evolved strategies, and against arbitrary strategies. A representation for strategies, called shaped prisoner´s dilemma automata, is used to find exploitative strategies using a co-evolutionary algorithm. This representation alters both the space of strategies searched and the connectivity of that space. Eight different shapes are studied in the context of their ability to find exploitative strategies.
  • Keywords
    automata theory; evolutionary computation; game theory; coevolutionary algorithm; cooperation evolution; exploitation stategy; iterated prisoner dilemma game; shaped prisoners dilemma automata; Automata; Context; Games; Indexes; Shape; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Foundations of Computational Intelligence (FOCI), 2014 IEEE Symposium on
  • Conference_Location
    Orlando, FL
  • Type

    conf

  • DOI
    10.1109/FOCI.2014.7007818
  • Filename
    7007818