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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1401076