Evolution of emergent cooperative behavior using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InCollection{koza:1994:eecb,
  author =       "John R. Koza",
  title =        "Evolution of emergent cooperative behavior using
                 genetic programming",
  booktitle =    "Computing with Biological Metaphors",
  publisher =    "Chapman \& Hall",
  year =         "1994",
  editor =       "Ray Paton",
  pages =        "280--297",
  address =      "London, UK",
  keywords =     "genetic algorithms, genetic programming, emergent
                 behavior, painted desert problem, independent agents,
                 artificial ants, cooperative behavior, crossover,
                 recombination",
  URL =          "http://www.genetic-programming.com/jkpdf/paton1994.pdf",
  abstract =     "The recently developed genetic programming paradigm
                 provides a way to genetically breed a computer program
                 to solve a wide variety of problems. Genetic
                 programming employs Darwinian survival and reproduction
                 of the fittest and the genetic crossover (sexual
                 recombination) operation to evolve progressively better
                 solutions to problems. In this chapter, a computer
                 program that governs the behaviour of a group of
                 independently acting agents is genetically evolved to
                 solve the painted desert problem. The evolved program
                 exhibits emergent and cooperative behavior.",
}

Genetic Programming entries for John Koza

Citations