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 89
... continue to say " ... this work seeks to permit experts in the field of infectious disease therapy to teach the MYCIN system the therapeutic decision rules that they find useful in their clinical From classic expert systems to models 89.
... continue to say " ... this work seeks to permit experts in the field of infectious disease therapy to teach the MYCIN system the therapeutic decision rules that they find useful in their clinical From classic expert systems to models 89.
Page 99
... continue to be developed and tested routinely when time permits or when the application is complex and valuable . Physical models describe parts , some of their attributes and some of their relations . Such models can be used as tools ...
... continue to be developed and tested routinely when time permits or when the application is complex and valuable . Physical models describe parts , some of their attributes and some of their relations . Such models can be used as tools ...
Page 171
... continue at this stage it is also important to secure a commitment from each expert to supply these , or to have some associate do it for them . If this is not done from the beginning , there is a high probability that testing will be ...
... continue at this stage it is also important to secure a commitment from each expert to supply these , or to have some associate do it for them . If this is not done from the beginning , there is a high probability that testing will be ...
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