• DocumentCode
    2333853
  • Title

    RedTNet: A network model for strategy games

  • Author

    Hingston, Philip ; Preuss, Mike ; Spierling, Daniel

  • Author_Institution
    Sch. of Comput. Sci. & Security, Edith Cowan Univ., Perth, WA, Australia
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    In this work, we develop a simple, graph-based framework, RedTNet, for computational modeling of strategy games and simulations. The framework applies the concept of red teaming as a means by which to explore alternative strategies. We show how the model supports computer-based red teaming in several applications: realtime strategy games and critical infrastructure protection, using an evolutionary algorithm to automatically detect good and often surprising strategies.
  • Keywords
    computer games; evolutionary computation; games of skill; graph theory; real-time systems; RedTNet; computational modeling; computer-based red teaming; critical infrastructure protection; evolutionary algorithm; graph-based framework; realtime strategy games; Artificial intelligence; Computational modeling; Context; Evolutionary computation; Games; Optimization; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586505
  • Filename
    5586505