Isabelle Jars, Nadia Kabachi, and Michel Lamure
According to Lev Vygotsky, learning is influence by social interactions and this confrontation of points of view enables an individual to evolve during the time. The Vygotsky theory gives an important place not only to social tools as language but also to interactions and relationships between individuals. Therefore, we try to see how, in a multiagent system, and intelligent agent can learn and more easily integrate a new environment and a new agents’s community. This paper proposes our ideas on that topic and tries to give a modeling of the adaptive agent’s bevanior in the framework of multiagent systems.