• DocumentCode
    60172
  • Title

    The Effect of Memory Size on the Evolutionary Stability of Strategies in Iterated Prisoner´s Dilemma

  • Author

    Jiawei Li ; Kendall, Graham

  • Author_Institution
    ASAP Res. Group, Univ. of Nottingham, Nottingham, UK
  • Volume
    18
  • Issue
    6
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    819
  • Lastpage
    826
  • Abstract
    The iterated prisoner´s dilemma is an ideal model for the evolution of cooperation among payoff-maximizing individuals. It has attracted wide interest in the development of novel strategies since the success of tit-for-tat in Axelrod´s iterated prisoner´s dilemma competitions. Every strategy for iterated prisoner´s dilemma utilizes a certain length of historical interactions with the opponent, which is regarded as the size of the memory, in making its choices. Intuitively, longer memory strategies must have an advantage over shorter memory strategies. In practice, however, most of the well known strategies are short memory strategies that utilize only the recent history of previous interactions. In this paper, the effect of the memory size of strategies on their evolutionary stability in both infinite length and indefinite length n-person iterated prisoner´s dilemma is studied. Based on the concept of a counter strategy, we develop a theoretical methodology for evaluating the evolutionary stability of strategies and prove that longer memory strategies outperform shorter memory strategies statistically in the sense of evolutionary stability. We also give an example of a memory-two strategy to show how the theoretical study of evolutionary stability assists in developing novel strategies.
  • Keywords
    evolutionary computation; game theory; Axelrods iterated prisoners dilemma competitions; evolutionary stability; iterated prisoners dilemma game; memory size; memory strategy; History; Radiation detectors; Sociology; Stability criteria; Statistics; Thin film transistors; Evolutionary stability; game theory; iterated prisoner’s dilemma; iterated prisoner´s dilemma; strategies;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/TEVC.2013.2286492
  • Filename
    6642072