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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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 existing tools to meet this need .
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 existing tools to meet this need .
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the knowledge level , with a resulting nonhomogeneity that blocks the application of consistent and powerful knowledge refinement heuristics . However , in those in those cases where a more uniform representation is used , and where the ...
the knowledge level , with a resulting nonhomogeneity that blocks the application of consistent and powerful knowledge refinement heuristics . However , in those in those cases where a more uniform representation is used , and where the ...
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The weakness in performance is often due to an overreliance on an iterative refinement approach to developing the intelligent system knowledge base . Iterative refinement is one of the standard recommendations for how to build ...
The weakness in performance is often due to an overreliance on an iterative refinement approach to developing the intelligent system knowledge base . Iterative refinement is one of the standard recommendations for how to build ...
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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