• DocumentCode
    2695797
  • Title

    Static experts and dynamic enemies in coevolutionary games

  • Author

    Avery, Phillipa M. ; Michalewicz, Zbigniew

  • Author_Institution
    Univ. of Adelaide, Adelaide
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    4035
  • Lastpage
    4042
  • Abstract
    The usage of memory in coevolutionary systems offers a wide range of research possibilities, especially when evolving computationally intelligent computer players for games. The research discussed here continues from previous work done to include memory with coevolution for the game of TEMPO. The strategy of inserting a simple human derived rule base to kick start the evolutionary process with memory is investigated further, with tests done on the effectiveness of the expert as a participant in the evolutionary process. There is also further research presented on reproducing the human long term memory mechanism in the coevolutionary process, with a process used to mimic the way humans recall information relevant to the current scenario. This creates a memory that changes as the environmental situation changes, and results in a dynamic opposition to coevolve against.
  • Keywords
    brain; computer games; evolutionary computation; expert systems; human factors; TEMPO game; coevolutionary games; coevolutionary systems; computationally intelligent computer players; computer games; dynamic enemy; evolutionary process; human derived rule base; human long term memory mechanism; static experts; Competitive intelligence; Computational intelligence; Computer science; Helium; Humans; Information retrieval; Performance evaluation; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424997
  • Filename
    4424997