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 184
The CASNET expert system which exploited causal mechanisms was developed for treating Glaucoma ( Kulikowski and Weiss [ 13 ] ) , and out of this the ... Like EMYCIN there is a mechanism for handling uncertainty ( confidence values ) .
The CASNET expert system which exploited causal mechanisms was developed for treating Glaucoma ( Kulikowski and Weiss [ 13 ] ) , and out of this the ... Like EMYCIN there is a mechanism for handling uncertainty ( confidence values ) .
Page 258
Acquiring and using such a domain semantics is essential ( 1 ) to specify what kinds of cognitive support functions needed , ( 2 ) to specify what kinds of computational mechanisms are capable of providing such functions , ( 3 ) to ...
Acquiring and using such a domain semantics is essential ( 1 ) to specify what kinds of cognitive support functions needed , ( 2 ) to specify what kinds of computational mechanisms are capable of providing such functions , ( 3 ) to ...
Page 399
The processes that generate the information and the reasoning mechanisms are obviously crucial for the proper functioning of the expert system . This is in quite similar to problems that are met in other uses of computers , e.g. in ...
The processes that generate the information and the reasoning mechanisms are obviously crucial for the proper functioning of the expert system . This is in quite similar to problems that are met in other uses of computers , e.g. in ...
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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