Title :
Development of an AI supporting system for knowledge acquisition and refinement (nuclear power plant applications)
Author :
Asai, N. ; Onishi, K. ; Mori, S. ; Otsuka, Y. ; Makino, S.
Author_Institution :
Kansai Electr. Power Co. Inc., Osaka, Japan
Abstract :
Knowledge acquisition and refinement are becoming a bottleneck in developing expert systems. To solve this kind of problem, the authors have developed a supporting system for knowledge acquisition and refinement called the Knowledge Catcher. The system is designed to make knowledge acquisition and refinement effective in building a knowledge base applicable to the diagnosis for nuclear power plants. An overview of the Knowledge Catcher is presented, with attention given to knowledge structure, system function, the approach to knowledge acquisition, and verification.<>
Keywords :
expert systems; knowledge acquisition; nuclear engineering computing; nuclear power stations; AI supporting system; Knowledge Catcher; diagnosis; expert systems; knowledge acquisition; knowledge base; knowledge refinement; knowledge structure; nuclear power plants; system function; verification; Artificial intelligence; Coolants; Diagnostic expert systems; Electronic switching systems; Inductors; Knowledge acquisition; Knowledge representation; Power generation; Problem-solving; Refining;
Conference_Titel :
Artificial Intelligence for Industrial Applications, 1988. IEEE AI '88., Proceedings of the International Workshop on
Conference_Location :
Hitachi City, Japan
DOI :
10.1109/AIIA.1988.13268
