• DocumentCode
    445525
  • Title

    An adaptive methodology for synthesising mobile phone games using genetic algorithms

  • Author

    Verma, Milan A. ; McOwan, Peter W.

  • Author_Institution
    London Univ.
  • Volume
    1
  • fYear
    2005
  • fDate
    5-5 Sept. 2005
  • Firstpage
    864
  • Abstract
    This paper details an adaptive methodology that uses a genetic algorithm (GA) to deliver variations of a given mobile phone video game. The adaptive methodology uses the GA to generate an easier or harder game based on user-feedback of the desired level of difficulty. Game parameters are synthesised using empirically determined human user characteristics. The paper presents the results of a pilot study that confirm the success of the approach described herein
  • Keywords
    computer games; genetic algorithms; mobile computing; mobile handsets; adaptive methodology; genetic algorithm; mobile phone video game synthesis; user-feedback; Artificial intelligence; Explosions; Feedback; Games; Genetic algorithms; Humans; Java; Microcomputers; Mobile handsets; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Conference_Location
    Edinburgh, Scotland
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554774
  • Filename
    1554774