An approach of self-organizational learning system of autonomous robots by grounding symbols through interaction with their environment

Abstract

This paper describes how we should design the learning system for autonomous robots. Autonomous robots have to produce their knowledge for themselves. We propose a learning system that can make it possible for autonomous robots to produce symbols, which indicate some special meaning for them and are acquired through the interaction both with the external and the internal.