Session:

Hybrid System Applications
Sunday, February 29, 2004, 12.20 – 12.40

Session Chair:

Fikret Gürgen

Paper Title:

A Relational Theory of Interaction and Learning Based on Classifier System

Author(s):

Dr. I. Nagasaka, Kobe University, Japan
Prof. M. Kikuchi, Kobe University, Japan
Prof. S. Kitamura, Kobe University, Japan

Abstract:

In engineering, the word interaction and learning can cover many aspects of processes of intelligent systems. In this paper, we regard the process of the interaction as transition of the status of an interface between them. From this point of view, we give a formal model of interaction and learning based on a learning system called classifier system. Firstly, we show a general view of interaction by focusing on the role of interface. Then, the role of interface is formulated as function using the idea of relational theory of meaning in Situation Semantics. By applying the formulation, the interaction between the classifier system and the environment is defined formally in a mathematical framework of information flow called Channel Theory. In accordance with this formulation, we present an alternative view of the concept of learning, that is, learning is a process of defining a function of interface between the learning system and the environment.