A Proposal on Understanding of Linguistic Instructions and Behavior Improvement

Abstract

It is easy for humans to communicate with each other using natural language. If a system was capable of understanding linguistic instructions given by human operators, the system will be easy to use in a complex environment. However linguistic instructions are usually vague and their meanings depends on the circumstances. There are gaps between the linguistic expressions and the desired behavior of the system in many cases.
This paper presents a new system for behavior improvement through understanding of linguistic instructions using a fuzzy classifier system. The proposed method can autonomously acquire the meanings of instructions. Simulations are done to demonstrate the capability of the proposed method.