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 35
If the estimated number of important concepts required is bounded to several hundreds or a few thousands , then that is a reasonable size for an expert system in the current state of the art . However , estimating this number is very ...
If the estimated number of important concepts required is bounded to several hundreds or a few thousands , then that is a reasonable size for an expert system in the current state of the art . However , estimating this number is very ...
Page 49
What are reasonable default assumptions ? Is it reasonable , for example , to assume the possibility of extreme temperatures in Arizona in the summer , or should temperature factors be elicited at run time . 4.
What are reasonable default assumptions ? Is it reasonable , for example , to assume the possibility of extreme temperatures in Arizona in the summer , or should temperature factors be elicited at run time . 4.
Page 174
It is common to compare the system's conclusions with those reached by human experts who are presented with comparable data . This is a reasonable approach as long as some care is taken in selecting the experts , and measuring their ...
It is common to compare the system's conclusions with those reached by human experts who are presented with comparable data . This is a reasonable approach as long as some care is taken in selecting the experts , and measuring their ...
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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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Common terms and phrases
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