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 253
Presenting ambiguous situations , that can be interpreted in multiple ways , provides the opportunity to observe which interpretations come to mind most readily , the extent to which the domain practitioners entertain multiple ...
Presenting ambiguous situations , that can be interpreted in multiple ways , provides the opportunity to observe which interpretations come to mind most readily , the extent to which the domain practitioners entertain multiple ...
Page 285
Interpretation models and generic tasks In the KADS methodology various models are used . The most important result of the analysis stage is the conceptual model ( M1 in figure 1 ) . The conceptual model is a specification in KCML of ...
Interpretation models and generic tasks In the KADS methodology various models are used . The most important result of the analysis stage is the conceptual model ( M1 in figure 1 ) . The conceptual model is a specification in KCML of ...
Page 289
Guidelines for selecting and combining interpretation models are presented in the KADS - Handbook ( Edin et al . , 1987 and in Breuker et al . , 1987 ) . The function of interpretation models is to provide a high level initial structure ...
Guidelines for selecting and combining interpretation models are presented in the KADS - Handbook ( Edin et al . , 1987 and in Breuker et al . , 1987 ) . The function of interpretation models is to provide a high level initial structure ...
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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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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