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 35
... reasonable size for an expert system in the current state of the art . However , estimating this number is very diffi- cult , especially before knowledge acquisition has begun . • The task is sufficiently narrow and self - contained ...
... reasonable size for an expert system in the current state of the art . However , estimating this number is very diffi- cult , especially before knowledge acquisition has begun . • The task is sufficiently narrow and self - contained ...
Page 49
... reasonable default assumptions ? Is it reasonable , for example , to assume the possibility of extreme temperatures in Arizona in the summer , or should temperature factors be elicited at run time . 4. The degree of accuracy acceptable ...
... reasonable default assumptions ? Is it reasonable , for example , to assume the possibility of extreme temperatures in Arizona in the summer , or should temperature factors be elicited at run time . 4. The degree of accuracy acceptable ...
Page 174
... reasonable approach as long as some care is taken in selecting the experts , and measuring their degree of agreement on the conclusions . Only in this way will it be possible to tell whether their degree of agreement with the expert ...
... reasonable approach as long as some care is taken in selecting the experts , and measuring their degree of agreement on the conclusions . Only in this way will it be possible to tell whether their degree of agreement with the expert ...
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