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 15
... prepared by the system designers with the support of domain experts and users ; - it is still embedded in the development environment and it is not engineered and optimized ( it is generally not efficient and reliable as requested ) ...
... prepared by the system designers with the support of domain experts and users ; - it is still embedded in the development environment and it is not engineered and optimized ( it is generally not efficient and reliable as requested ) ...
Page 16
... prepared by the system designers with the support of domain experts and users . The prototype is then evaluated with reference to the validation and acceptance criteria defined in Phase 1 . As outlined above , the prototype is generally ...
... prepared by the system designers with the support of domain experts and users . The prototype is then evaluated with reference to the validation and acceptance criteria defined in Phase 1 . As outlined above , the prototype is generally ...
Page 258
... prepared to use a mix of techniques . Knowledge elicitation is difficult for the expert . The more retrieval cues that are provided to activate relevant memories , the more complete and accurate the knowledge obtained will be . The ...
... prepared to use a mix of techniques . Knowledge elicitation is difficult for the expert . The more retrieval cues that are provided to activate relevant memories , the more complete and accurate the knowledge obtained will be . The ...
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