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 59
... considerable customizations can be achieved through the modification of default methods . " In the large " modifications are supported by example and explicit constraints . For instance , the substitution of a new interface for one ...
... considerable customizations can be achieved through the modification of default methods . " In the large " modifications are supported by example and explicit constraints . For instance , the substitution of a new interface for one ...
Page 146
... considerable progress in experimentation with expert system formalisms since 1981 , but the major stages of model construction still remain roughly the same . However , considerable new insights have been obtained in the areas of ...
... considerable progress in experimentation with expert system formalisms since 1981 , but the major stages of model construction still remain roughly the same . However , considerable new insights have been obtained in the areas of ...
Page 196
... considerable assistance to the expert when developing an understanding of probabilities and their manipulation . A " What If " facility is also extremely helpful both during debugging and normal operation . 5.9 Hybrid Tools Some tools ...
... considerable assistance to the expert when developing an understanding of probabilities and their manipulation . A " What If " facility is also extremely helpful both during debugging and normal operation . 5.9 Hybrid Tools Some tools ...
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