Development of an AI supporting system for knowledge acquisition and refinement (nuclear power plant applications)

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.<>