• DocumentCode
    1965077
  • Title

    Automatic concept evolution

  • Author

    Fogarty, Terence C.

  • Author_Institution
    South Bank Univ., London, UK
  • fYear
    2003
  • fDate
    18-20 Aug. 2003
  • Firstpage
    89
  • Abstract
    Summary form only given, as follows. An evolutionary algorithm can be used by a distributed group of interacting people to produce the solution to a problem. First the problem must be defined. Each member of the group suggests solutions to the problem. They then go on to improve these suggestions by mutation and crossover. They show their preferences by replication and can throw in new suggestions if they think of them. A small experiment involving seven people using this algorithm to choose a name for it is described. The successes and limitations of this small experiment are discussed.
  • Keywords
    evolutionary computation; problem solving; crossover; distributed group; evolutionary algorithm; experiment; human interaction; mutation; replication; Cognitive informatics; Evolutionary computation; Genetic mutations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2003. Proceedings. The Second IEEE International Conference on
  • Print_ISBN
    0-7695-1986-5
  • Type

    conf

  • DOI
    10.1109/COGINF.2003.1225961
  • Filename
    1225961