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 71
robustness of the program sophistication of the user interface need to input and process large amounts of data Prolog is an excellent tool for protoyping of expert systems because its strengths precisely correspond to the needs of ...
robustness of the program sophistication of the user interface need to input and process large amounts of data Prolog is an excellent tool for protoyping of expert systems because its strengths precisely correspond to the needs of ...
Page 73
IMPLEMENTING EXPERT SYSTEMS IN PROLOG There are three main approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ...
IMPLEMENTING EXPERT SYSTEMS IN PROLOG There are three main approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ...
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CONCLUSIONS Prolog is a powerful language for expert systems programming . Its power comes mainly from its data structuring mechanism , built - in pattern matching , and other symbolic programming features .
CONCLUSIONS Prolog is a powerful language for expert systems programming . Its power comes mainly from its data structuring mechanism , built - in pattern matching , and other symbolic programming features .
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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