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 105
Thus , the situations or configurations possible within a domain are implicit , while the structure and function of the domain are explicit . Thus , they share domain descriptions and reasoning processes which allow them to analyze ...
Thus , the situations or configurations possible within a domain are implicit , while the structure and function of the domain are explicit . Thus , they share domain descriptions and reasoning processes which allow them to analyze ...
Page 132
This approach is particularly well suited to situations where data arrives naturally in the course of operation of the system and does not need to be solicited . Temporal progressions or developing situations can be described by the ...
This approach is particularly well suited to situations where data arrives naturally in the course of operation of the system and does not need to be solicited . Temporal progressions or developing situations can be described by the ...
Page 248
The goal - directed representation serves as a framework or problem space that is used to describe the kinds of cognitive situations that arise in the course of carrying out domain tasks ...
The goal - directed representation serves as a framework or problem space that is used to describe the kinds of cognitive situations that arise in the course of carrying out domain tasks ...
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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