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 36
... agreed upon by the system developers and the domain area personnel . This agreement helps insure that the system , if successful , will be useful and will be used . • Managers in the domain area have previously identified the need to ...
... agreed upon by the system developers and the domain area personnel . This agreement helps insure that the system , if successful , will be useful and will be used . • Managers in the domain area have previously identified the need to ...
Page 146
... agreed upon in the workshop session on Constructing an Expert System , chaired by Bruce Buchanan , in which I participated . Members of several of the first teams of expert systems builders shared their experiences in building realistic ...
... agreed upon in the workshop session on Constructing an Expert System , chaired by Bruce Buchanan , in which I participated . Members of several of the first teams of expert systems builders shared their experiences in building realistic ...
Page 154
... agreed to include the interpretive model in his Cliniscan if the knowledge base could be expanded and tested to cover all necessary patterns of findings and conclusions that could be reached using the instrument's results . As a ...
... agreed to include the interpretive model in his Cliniscan if the knowledge base could be expanded and tested to cover all necessary patterns of findings and conclusions that could be reached using the instrument's results . As a ...
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