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
... alternatives proposed by a simulation engine , the RPS approach would urge creating a has - simulation - engine relation ... alternative options across the many small modules that are brought together in the system model . 5. EXAMPLE The ...
... alternatives proposed by a simulation engine , the RPS approach would urge creating a has - simulation - engine relation ... alternative options across the many small modules that are brought together in the system model . 5. EXAMPLE The ...
Page 161
... alternative to the instrument - based approach we took with SPE / EXPERT has been taken by Shortliffe and his group at Stanford's SUMEX - AIM Resource . The goal was to encode the protocols for cancer treatment and produce a system for ...
... alternative to the instrument - based approach we took with SPE / EXPERT has been taken by Shortliffe and his group at Stanford's SUMEX - AIM Resource . The goal was to encode the protocols for cancer treatment and produce a system for ...
Page 166
... alternative ways in which an automated system could help assist or replace the human expert . All the above still represent an informal , though detailed conceptual map of what the expert system is expected to do . It is essential if ...
... alternative ways in which an automated system could help assist or replace the human expert . All the above still represent an informal , though detailed conceptual map of what the expert system is expected to do . It is essential if ...
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