• DocumentCode
    428686
  • Title

    Social learning in multi agents system: an additional step toward intelligence

  • Author

    Jars, Isabelle ; Kabachi, Nadia ; Lamure, Michel

  • Author_Institution
    LASS, Claude Bernard Lyon I Univ., Villeurbanne, France
  • Volume
    6
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    5542
  • Abstract
    According to Lev Vygotsky, individual\´s learning is influenced by social interactions with his environment. This confrontation of points of view enables an individual to evolve during the time. The Vygotsky\´s theory gives a quite important place not only to social tools as language, but also to interactions and relationships between individuals. From this report, we try to see how, in a multi agents system, an "intelligent agent" can learn and more easily integrate a new environment and a new agent\´s community. We propose a three steps process to ensure a new adaptive agent integration, which gives importance to the language and the relationships between agents.
  • Keywords
    learning systems; multi-agent systems; adaptive agent integration; intelligent agent; multi agents system; social interaction; social learning; Adaptive systems; Artificial intelligence; Boolean functions; Cultural differences; Data structures; Educational institutions; Humans; Intelligent agent; Problem-solving; Psychology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1401076
  • Filename
    1401076