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 119
Rules can be gathered together into segments and structured as networks ; individual findings can be associated together in a network with inference defined over the links , and structure within the range of values of a variable or ...
Rules can be gathered together into segments and structured as networks ; individual findings can be associated together in a network with inference defined over the links , and structure within the range of values of a variable or ...
Page 120
In general , the predefined methods provide higher performance than the knowledge engineer defined methods because they can be pre - compiled into the system rather than being interpretively executed . 5.1.3 . Using Networks of Objects ...
In general , the predefined methods provide higher performance than the knowledge engineer defined methods because they can be pre - compiled into the system rather than being interpretively executed . 5.1.3 . Using Networks of Objects ...
Page 163
... and help an existing expert by automating some of his routine duties ? Is it designed to apply an expert's knowledge in situations which he cannot currently reach ? The goal for a proposed expert system may be well defined , or it ...
... and help an existing expert by automating some of his routine duties ? Is it designed to apply an expert's knowledge in situations which he cannot currently reach ? The goal for a proposed expert system may be well defined , or 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