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 73
... approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ' . Let us consider all three in turn . ( 1 ) Direct approach ...
... approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ' . Let us consider all three in turn . ( 1 ) Direct approach ...
Page 115
... approach can be extremely limiting when general heuristics are not known or domain expert time is at a premium . Machine learning techniques can be used to reduce the dependence on pre - digestion of the problem solving process by ...
... approach can be extremely limiting when general heuristics are not known or domain expert time is at a premium . Machine learning techniques can be used to reduce the dependence on pre - digestion of the problem solving process by ...
Page 135
... approach described here is of little value unless all of its components can be unified in a single knowledge - based system . At first glance , it is not apparent that the diverse operations and representations described in the ...
... approach described here is of little value unless all of its components can be unified in a single knowledge - based system . At first glance , it is not apparent that the diverse operations and representations described in the ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
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Common terms and phrases
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