• DocumentCode
    3494321
  • Title

    Vicarious learning in mobile neurally controlled agents: the V-MAXSON architecture

  • Author

    Grabbe, F.L. ; Dyer, Michael G.

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Los Angeles, CA, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    904
  • Abstract
    Extends MAXSON (a neural reinforcement learning system) to include vicarious learning. It shows that V-MAXSON can improve individual survival as well as promote survival of the group
  • Keywords
    learning (artificial intelligence); V-MAXSON architecture; mobile neurally controlled agents; neural reinforcement learning system; survival; vicarious learning;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1999. ICANN 99. Ninth International Conference on (Conf. Publ. No. 470)
  • Conference_Location
    Edinburgh
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-721-7
  • Type

    conf

  • DOI
    10.1049/cp:19991227
  • Filename
    818052
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3494321