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 33
... amount of experience necessary to be able to develop the insights into the area that result in heuristics . • The expert will commit a substantial amount of time to the development of the system . Obtaining the full commitment of an ...
... amount of experience necessary to be able to develop the insights into the area that result in heuristics . • The expert will commit a substantial amount of time to the development of the system . Obtaining the full commitment of an ...
Page 35
... amount of knowledge needed may be beyond the state of the art in knowledge base size . • The amount of knowledge required by the task is large enough to be non- trivial . If it is too small , the task may be more amenable to another ...
... amount of knowledge needed may be beyond the state of the art in knowledge base size . • The amount of knowledge required by the task is large enough to be non- trivial . If it is too small , the task may be more amenable to another ...
Page 132
... amounts to a form of rule scheduling . This option for rule scheduling was used extensively in the BABY system ... amount to preconditions on the invocation of rule segments or indi- vidual rules . In either case , rule sequencing ...
... amounts to a form of rule scheduling . This option for rule scheduling was used extensively in the BABY system ... amount to preconditions on the invocation of rule segments or indi- vidual rules . In either case , rule sequencing ...
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