• DocumentCode
    2917885
  • Title

    Coevolving strategic intelligence

  • Author

    Avery, Phillipa M. ; Greenwood, Garrison W. ; Michalewicz, Zbigniew

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Adelaide, Adelaide, SA
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    3523
  • Lastpage
    3530
  • Abstract
    Strategic decision making done in parallel with the opposition makes it difficult to predict the oppositionpsilas strategy. An important aspect in deciding a move is evaluating your opponentpsilas past moves and using them to predict future movement. In the game of TEMPO this is done through the purchase of intelligence, which gives you a relative view of your opponentpsilas choices. The research presented here seeks to evaluate the way this intelligence is used in the current game, and present an alternative method of representation. This alternate mechanism is then used in a co evolutionary system to obtain a computer player that will self-learn the importance of using opposition data in strategic decision making.
  • Keywords
    decision making; military computing; TEMPO; coevolutionary system; coevolving strategic intelligence; strategic decision making; Computer science; Decision making; Game theory; Helium; Logistics; Military computing; Process planning; Resource management; Strategic planning; Weapons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    978-1-4244-1823-7
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631274
  • Filename
    4631274