Topics in Expert System Design: Methodologies and ToolsGiovanni Guida, Carlo Tasso North-Holland, 1989 - 441 pages Expert 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 48
... functional requirements for knowledge - based systems comes from several sources . For one , the desired problem - solving capabilities are often ill - specified ; and the methods for achieving the desired functional results are ill ...
... functional requirements for knowledge - based systems comes from several sources . For one , the desired problem - solving capabilities are often ill - specified ; and the methods for achieving the desired functional results are ill ...
Page 49
... functional prototypes , tools need to be modular , expressive , flexible , and varied . Modularity is desirable in several respects . First , decomposition into modular functional units reduces the likelihood that modifications will ...
... functional prototypes , tools need to be modular , expressive , flexible , and varied . Modularity is desirable in several respects . First , decomposition into modular functional units reduces the likelihood that modifications will ...
Page 50
... functional prototypes whose purpose is to elicit requirements , and design prototypes whose purpose is to explore solutions . Prototypes developed as functional specifications typically focus on capturing the requirements of a system ...
... functional prototypes whose purpose is to elicit requirements , and design prototypes whose purpose is to explore solutions . Prototypes developed as functional specifications typically focus on capturing the requirements of a system ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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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