Topics in Expert System Design: Methodologies and ToolsGiovanni Guida, Carlo Tasso North-Holland, 1989 - 441 pages Expert Systems are so far the most promising achievement of artificial intelligence research. Decision making, planning, design, control, supervision and diagnosis are areas where they are showing great potential. However, the establishment of expert system technology and its actual industrial impact are still limited by the lack of a sound, general and reliable design and construction methodology. |
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Page 16
... completion of the knowledge base , formal testing is carried on . To this purpose , it may often be necessary to develop a simulator , which can simulate interaction of the prototype with the real operational environment . The prototype ...
... completion of the knowledge base , formal testing is carried on . To this purpose , it may often be necessary to develop a simulator , which can simulate interaction of the prototype with the real operational environment . The prototype ...
Page 39
... completion . The use of expert system technology for real corporate ap- plications is still relatively new , and so any development has some risk . Thus , the less dependent other activities are on the success of the expert system ...
... completion . The use of expert system technology for real corporate ap- plications is still relatively new , and so any development has some risk . Thus , the less dependent other activities are on the success of the expert system ...
Page 165
... completion of the problem . These can be considered as the minimum requirements for any knowledge base to be built , and serve as input to the next step of conceptualizing the problem solving process used by the domain experts . It is ...
... completion of the problem . These can be considered as the minimum requirements for any knowledge base to be built , and serve as input to the next step of conceptualizing the problem solving process used by the domain experts . It is ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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abstract activities addition allow analysis application approach attribute building complete components Computer concepts conclusion considered consists construction contains decision defined depends described detailed discussed domain effective elicitation environment evaluation example expert system expertise facilities fact Figure formal frame function given goal human identified implementation important inference input instance integrated Intelligence interaction interface International interpretation knowledge acquisition knowledge base knowledge engineer knowledge representation knowledge-based language learning limited machine major means mechanisms methodology methods objects operations output particular performance phase possible practical presented problem solving produce programming Prolog prototype question reasoning refer refinement relations Report represent representation requirements rules selection shells shows situations solution specific strategies structure studies system development task techniques types validity values