An automatic knowledge acquisition method for switching sequences and it's evaluation

Abstract

This paper presents the development and maintenance of intelligent 'switching sequence generation' systems. The authors have developed a new framework which can construct and update its knowledge base without external influence. This paper proposes an automatic knowledge acquisition method, a key part of the intelligent system architecture which is realized by means of the machine learning paradigm. This paper introduces a new knowledge acquisition method and discusses the evaluation and the extension for the purpose of its practical use.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>