• DocumentCode
    833518
  • Title

    Evolutionary computation and games

  • Author

    Lucas, Simon M. ; Kendall, Graham

  • Author_Institution
    Essex Univ., UK
  • Volume
    1
  • Issue
    1
  • fYear
    2006
  • Firstpage
    10
  • Lastpage
    18
  • Abstract
    Games provide competitive, dynamic environments that make ideal test beds for computational intelligence theories, architectures, and algorithms. Natural evolution can be considered to be a game in which the rewards for an organism that plays a good game of life are the propagation of its genetic material to its successors and its continued survival. In natural evolution, the fitness of an individual is defined with respect to its competitors and collaborators, as well as to the environment. Within the evolutionary computation (EC) literature, this is known as co-evolution and within this paradigm, expert game-playing strategies have been evolved without the need for human expertise.
  • Keywords
    evolutionary computation; game theory; co-evolution; evolutionary computation; game of life; Artificial intelligence; Collaboration; Computational intelligence; Computer architecture; Evolutionary computation; Game theory; Genetics; Humans; Organisms; Testing;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2006.1597057
  • Filename
    1597057