Evolving team behaviours in environments of varying difficulty

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Darren Doherty and Colm O'Riordan",
  title =        "Evolving team behaviours in environments of varying
  journal =      "Artificial Intelligence Review",
  year =         "2007",
  volume =       "27",
  number =       "4",
  pages =        "223--244",
  keywords =     "genetic algorithms, genetic programming, Team
                 behaviours, Team evolution, Shooter games",
  publisher =    "Springer",
  ISSN =         "0269-2821",
  DOI =          "doi:10.1007/s10462-008-9078-1",
  size =         "22 pages",
  abstract =     "This paper investigates how varying the difficulty of
                 the environment can affect the evolution of team
                 behaviour in a combative game setting. The difficulty
                 of the environment is altered by varying the perceptual
                 capabilities of the agents in the game. The behaviours
                 of the agents are evolved using a genetic program.
                 These experiments show that the level of difficulty of
                 the environment does have an impact on the evolvability
                 of effective team behaviours; i.e. simpler environments
                 are more conducive to the evolution of effective team
                 behaviours than more difficult environments. In
                 addition, the experiments show that no one best
                 solution from any environment is optimal for all

Genetic Programming entries for Darren Doherty Colm O'Riordan