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 128
Methodologies and Tools Giovanni Guida, Carlo Tasso. 6.3 . From Rules to Rules - Incremental Rule Refinement In our experiments , we have not developed separate tools devoted to incremental rule refinement , but we have used other ...
Methodologies and Tools Giovanni Guida, Carlo Tasso. 6.3 . From Rules to Rules - Incremental Rule Refinement In our experiments , we have not developed separate tools devoted to incremental rule refinement , but we have used other ...
Page 355
... rules as they were initially entered into the knowledge base . Rather , it assumed the knowledge base was " complete " ( or close to it ) , and ... RULES CONFLICTING RULES RULES SUBSUMED RULES UNNECESSARY IF Knowledge base verification 355.
... rules as they were initially entered into the knowledge base . Rather , it assumed the knowledge base was " complete " ( or close to it ) , and ... RULES CONFLICTING RULES RULES SUBSUMED RULES UNNECESSARY IF Knowledge base verification 355.
Page 357
... rules , a rule checker can detect re- dundant rules , conflicting rules , rules that are subsumed by other rules , unnecessary IF conditions , and circular - rule chains . These five potential problems are defined in the sub- sections ...
... rules , a rule checker can detect re- dundant rules , conflicting rules , rules that are subsumed by other rules , unnecessary IF conditions , and circular - rule chains . These five potential problems are defined in the sub- sections ...
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