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 36
Domain area personnel understand that even a successful system will likely be limited . As has been mentioned , the expert system can not be expected to be better than a limited version of the expert . It prob- ably will be limited in ...
Domain area personnel understand that even a successful system will likely be limited . As has been mentioned , the expert system can not be expected to be better than a limited version of the expert . It prob- ably will be limited in ...
Page 194
5.1 Handling of Uncertainty Some shells offer no facilities ( e.g. Xi Plus , Nexpert ) others a very limited ( and perhaps inadequate ) form ( e.g. Exsys ) some offer a Baysian approach ( e.g. Savoir ) , others offer a MYCIN certainty ...
5.1 Handling of Uncertainty Some shells offer no facilities ( e.g. Xi Plus , Nexpert ) others a very limited ( and perhaps inadequate ) form ( e.g. Exsys ) some offer a Baysian approach ( e.g. Savoir ) , others offer a MYCIN certainty ...
Page 346
KSSO is limited to one acquisition technique and does not produce directly encodable data . The data acquired is extensively analyzed with the ENTAIL - algorithm [ 27 ] . KSSO is a tool to support the knowledge engineer in the ...
KSSO is limited to one acquisition technique and does not produce directly encodable data . The data acquired is extensively analyzed with the ENTAIL - algorithm [ 27 ] . KSSO is a tool to support the knowledge engineer in the ...
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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