Modelling exchange using the prisoner's dilemma and genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4394

  author =       "Laurence Hirsch and Masoud Saeedi",
  title =        "Modelling exchange using the prisoner's dilemma and
                 genetic programming",
  booktitle =    "Proceedings of the Computer Society of Iran Computing
  year =         "1999",
  editor =       "Rasool Jalili",
  address =      "Sharif University of Technology, Tehran, Iran",
  month =        "26-28 " # jan,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  size =         "8 pages",
  abstract =     "In this paper we show how exchange, co-operation and
                 other complex strategies found in nature can be
                 modelled using the prisoners dilemma game and genetic
                 programming. We are able to produce and evolve
                 different strategies represented by computer programs
                 that can play the prisoners' dilemma against a set of
                 predefined strategies or against other programs in the
                 population (co-evolution). Although the game is simple
                 the number of possible strategies for playing it is
                 huge. Genetic programming provides an efficient search
                 mechanism capable of identifying and propagating
                 strategies that do well in a particular environment.
                 Our implementation provides a distinct advantage over
                 previous investigations into the prisoner's dilemma
                 using genetic algorithms. In particular strategies can
                 be based upon the entire history of a game at any
                 point, rather than on recent moves only. We incorporate
                 the use of list data structures as terminals and
                 provide list-searching capability in the function set
                 so that potentially large volumes of data can be used
                 by the evolved programs.",
  notes =        "CSICC 98",

Genetic Programming entries for Laurence Hirsch Masoud Saeedi