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 37
The task should allow relatively rapid prototyping for a closed small subset of the complete task , and then expansion to the complete task . This will make development much eas- ier . Furthermore , decomposability allows the ...
The task should allow relatively rapid prototyping for a closed small subset of the complete task , and then expansion to the complete task . This will make development much eas- ier . Furthermore , decomposability allows the ...
Page 128
When inconsistencies or omissions are detected , additional rules can be generated to force the supplied rule segment to be either complete or consistent . Usually , such rules will need to be inspected by an expert with domain ...
When inconsistencies or omissions are detected , additional rules can be generated to force the supplied rule segment to be either complete or consistent . Usually , such rules will need to be inspected by an expert with domain ...
Page 337
To complete incomplete knowledge bases , and to find gaps within them , Watcher would need meta - knowledge , knowledge about knowledge to tell him what acquisition method to trigger next . The discovery of missing objects and links in ...
To complete incomplete knowledge bases , and to find gaps within them , Watcher would need meta - knowledge , knowledge about knowledge to tell him what acquisition method to trigger next . The discovery of missing objects and links in ...
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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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Common terms and phrases
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