A guide to expert systems
Modern control engineering (3rd ed.)
Modern control engineering (3rd ed.)
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project (The Addison-Wesley series in artificial intelligence)
Software psychology: Human factors in computer and information systems (Winthrop computer systems series)
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There are a variety of factors that affect the performance of an expert system. This paper presents an evaluating method focusing on the complexity, costs and efficiency of inference structure in a rule Knowledge-source based expert system. The performance measuring factors proposed here, when fedback to Knowledge engineers, can help them gain a quantitative understanding of reasoning performance of Knowledge acquired at the (early) stages of the development life cycle, and enable them to make a numeric comparison and a choice among several structures, or have some refinements. This paper also presents some application examples of this evaluating method and describes an evaluating facility based on it.