Social learning in multi agents system: an ... - Semantic Scholar
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Social learning in multi agents system: an ... - Semantic Scholar
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2004 IEEE International Conference on Systems, Man and Cybernetics
Social Learning in Multi Agents System: An Additional Step toward Intelligence* Isabelle Jars
Nadia Kabachi
Laboratoire d'Analyse des Systemes de Santb (LASS), UniversitC Claude Bernard Lyon I, Bitiment du Doyen Braconnier 43 bd du 1 1 Novembre 1918, 69622 Villeurbanne Cedex, France lsabelle.jars@univ-lyon1 .fr
Nadia.kabachi@univ-lyon1 .fr
Abstract - According to Lev Vvgotsb, individnal's learning is iiifliienced by social interactions uith his environntent. This coilfrvntation ofpoinls of view enables an individiial to evolve during the time. The VygotsbS theor?, gives a quire iniportant place no! on& !o social tools as larigiiage, birr also lo iriteructions and r.elations1iips hem:een individnals. Front this report, we !n, !o see hoir: in a mnlti agenfs sjsteni, an "in!elligent agent" cat7 learn and niore easilv inlegrate a new environrnent and a new agent's commrrrii@ We propose a three steps process !o ensure a new adaptive agent infegration ~~11icIi gives iinpor!ance to !he larigiiage a17d the I-elationshipsbehveen agents. Keywords: Multi agents system, adaptive agents, social learning, Vygotsky, language, interactions.
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Introduction
Social behaviors, in particular social learning, are key mechanisms to the evolution of human societies. We can find many examples of this basic way of leaming: a teacher trains children read and write, parents teach their children playing and sharing some activities with other, children work together at school to find a solution to a problem ... Cooperative leaming is not new and has been -*..A:-A
