Abstract
In this paper, we propose Multi User Learning Agent (MULA) to interact with various types of people effectively towards realization of Social Interaction. MULA is equipped with two functions for social learning. One is direct learning function by individualization of user parameters, and another is indirect learning function by past experience and the similarity between each users. MULA adopts an extended classifier system, which uses a classifier strength and a user profile for each people. Each person's classifier strength is enhanced by the interaction with the person and the past experience by similar type of people. We verified the effect of MULA by experimenting in interaction with six human beings using AIBO ERS-220A. It confirmed that this system promoted learning efficiently to two or more persons.
