An automatic knowledge acquisition method for switching sequences and its evaluation

This paper presents the development and maintenance of intelligent 'switching sequence generation' systems. The author's 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.<
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