• DocumentCode
    2446605
  • Title

    Pac-mAnt: Optimization based on ant colonies applied to developing an agent for Ms. Pac-Man

  • Author

    Emilio, Martin ; Moises, Martinez ; Gustavo, Recio ; Yago, Saez

  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    458
  • Lastpage
    464
  • Abstract
    This paper proposes the use of an optimization algorithm based on ant colonies for the development of competitive agents in the game environment in real time, specifically for the Ms. Pac-Man video game. Furthermore, a genetic algorithm is implemented to optimize the parameters of the artificial ants. The best agent obtained through experimentation will be sent to the competition of Ms. Pac-Man1 organized by the IEEE, framed within the Computational Intelligence and Games 2010 (CIG2010).
  • Keywords
    computer games; genetic algorithms; multi-agent systems; Computational Intelligence and Games; Ms. Pac-Man video game; Pac-mAnt; ant colony optimization; artificial ant; competitive agent; genetic algorithm; Computational intelligence; Conferences; Equations; Games; Mathematical model; Optimization; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2010 IEEE Symposium on
  • Conference_Location
    Dublin
  • Print_ISBN
    978-1-4244-6295-7
  • Electronic_ISBN
    978-1-4244-6296-4
  • Type

    conf

  • DOI
    10.1109/ITW.2010.5593319
  • Filename
    5593319
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2446605