Topics in Expert System Design: Methodologies and ToolsExpert 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
IMPLEMENTING EXPERT SYSTEMS IN PROLOG There are three main approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ...
IMPLEMENTING EXPERT SYSTEMS IN PROLOG There are three main approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ...
Page 115
Such an 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 ...
Such an 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 ...
Page 135
Design of a Language for Integrated Knowledge - based Systems The integrated 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 ...
Design of a Language for Integrated Knowledge - based Systems The integrated 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 ...
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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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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