• DocumentCode
    2335387
  • Title

    Development, learning and evolution in animats

  • Author

    Kodjabachian, Jereme ; Meyer, Jean Arcady

  • Author_Institution
    Groupe de BioInf., Ecole Normale Superieure, Paris, France
  • fYear
    1994
  • fDate
    7-9 Sept. 1994
  • Firstpage
    96
  • Lastpage
    109
  • Abstract
    Describes the works of Boers and Kuiper (1992), Vaario (1992, 1994), Nolfi and Parisi (1991), Gruau (1992), and Dellaert and Beer (1994), which all evolve the developmental program of an artificial nervous system. The potentialities of these approaches for automatically devising a control architecture linking the perceptions and the actions of an animat are then discussed, together with their possible contributions to the fundamental issue of assessing the adaptive values of development, learning and evolution.
  • Keywords
    genetic algorithms; intelligent control; learning systems; neural nets; robots; actions; adaptive values; animats; artificial nervous system; control architecture; developmental program; evolution; learning; perceptions; sensorimotor control; Animals; Animation; Automatic control; Bioinformatics; Electronic mail; Evolution (biology); Genetic algorithms; Nervous system; Neurons; Production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    From Perception to Action Conference, 1994., Proceedings
  • Print_ISBN
    0-8186-6482-7
  • Type

    conf

  • DOI
    10.1109/FPA.1994.636087
  • Filename
    636087