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 298
Much research has tackled the problem of devising tools [ 3 ] and techniques [ 4 ] that could support , speed up and eventually automate the knowledge acquisition process . Although all of these proposals attempt to tackle the same ...
Much research has tackled the problem of devising tools [ 3 ] and techniques [ 4 ] that could support , speed up and eventually automate the knowledge acquisition process . Although all of these proposals attempt to tackle the same ...
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2.3 Knowledge acquisition as the production of conceptual models According to the ' stage ' model in Figure 2 the goal of knowledge acquisition is to produce an abstract model of the problem that can then be implemented and refined .
2.3 Knowledge acquisition as the production of conceptual models According to the ' stage ' model in Figure 2 the goal of knowledge acquisition is to produce an abstract model of the problem that can then be implemented and refined .
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Gaines , B.R. 1987. An overview of knowledge - acquisition and transfer . Int . Journal of Man - Machine Studies 26 ( 4 ) , 453-472 . Gammack , J.G. and R.M. Young . 1985. Psychological techniques for eliciting expert knowledge .
Gaines , B.R. 1987. An overview of knowledge - acquisition and transfer . Int . Journal of Man - Machine Studies 26 ( 4 ) , 453-472 . Gammack , J.G. and R.M. Young . 1985. Psychological techniques for eliciting expert knowledge .
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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