An application of the genetic programming technique to strategy development

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

@Article{Sun2008,
  author =       "Koun-Tem Sun and Yi-Chun Lin and Cheng-Yen Wu and 
                 Yueh-Min Huang",
  title =        "An application of the genetic programming technique to
                 strategy development",
  journal =      "Expert Systems with Applications",
  year =         "2009",
  DOI =          "doi:10.1016/j.eswa.2008.06.066",
  URL =          "http://www.sciencedirect.com/science/article/B6V03-4SVC5K0-2/2/8fab65c2fe3f2eaddafa9b8f3ecb448e",
  volume =       "36",
  number =       "3",
  pages =        "5157--5161",
  month =        apr,
  note =         "Part 1",
  keywords =     "genetic algorithms, genetic programming, Strategy
                 development, Co-evolution process, Imaginary enemy",
  ISSN =         "0957-4174",
  size =         "5 pages",
  abstract =     "In this paper, we will apply genetic programming (GP)
                 and co-evolution techniques to develop two strategies:
                 the ghost (attacker) and players (survivors) in the
                 Traffic Light Game (a popular game among children).
                 These two strategies compete against each other. By
                 applying the co-evolution technique alongside GP, each
                 strategy is used as an {"}imaginary enemy{"} from which
                 evolves (is trained in) another strategy. Based on this
                 co-evolutionary process, these final strategies
                 develop: the ghost can effectively capture the players,
                 but the players can also escape from the ghost, rescue
                 partners, and detour around obstacles. The development
                 of these strategies has achieved phenomenal success.
                 The results encourage us to develop more complex
                 strategies or cooperative models such as human learning
                 models, cooperative robotic models, and self-learning
                 of virtual agents.",
}

Genetic Programming entries for Koun-Tem Sun Yi-Chun Lin Cheng-Yen Wu Yueh-Min Huang

Citations