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 183
inference engine " ( Davis [ 3 ] ) . The developers of MYCIN ( Shortliffe et al [ 4 ] ) realised that with such a reasonably clean separation the same representation formalism and inference engine could be used in a number of apparently ...
inference engine " ( Davis [ 3 ] ) . The developers of MYCIN ( Shortliffe et al [ 4 ] ) realised that with such a reasonably clean separation the same representation formalism and inference engine could be used in a number of apparently ...
Page 276
By combining knowledge sources ( KS ) via input / output arguments ( meta classes ) an inference structure can be constructed that reflects the required inference competence to accomplish a problem solving task .
By combining knowledge sources ( KS ) via input / output arguments ( meta classes ) an inference structure can be constructed that reflects the required inference competence to accomplish a problem solving task .
Page 290
In some cases ( e.g. Billault , 1988 ) the refinements are so detailed that the specification of the domain knowledge and inference methods is almost trivial . In other cases ( e.g. statistical consultancy ( De Greef et al , 1988a ) it ...
In some cases ( e.g. Billault , 1988 ) the refinements are so detailed that the specification of the domain knowledge and inference methods is almost trivial . In other cases ( e.g. statistical consultancy ( De Greef et al , 1988a ) it ...
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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