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 13
Once the main features of problem domain have been precisely identified , its adequacy to expert system ... A precise identification of the problem to be tackled is then performed , the overall long - range goals of the project are ...
Once the main features of problem domain have been precisely identified , its adequacy to expert system ... A precise identification of the problem to be tackled is then performed , the overall long - range goals of the project are ...
Page 166
Problem Conceptualization Phase Even after the problem's main characteristics have been identified , more detail is needed , in terms of how the expert actually solves typical examples and abstracts from them the general rules that he ...
Problem Conceptualization Phase Even after the problem's main characteristics have been identified , more detail is needed , in terms of how the expert actually solves typical examples and abstracts from them the general rules that he ...
Page 287
Prediction should not be taken literally : it is the identification of a currently not observable state of the system . ... In monitoring data are checked whether they satisfy norms , and if not the discrepancy is identified .
Prediction should not be taken literally : it is the identification of a currently not observable state of the system . ... In monitoring data are checked whether they satisfy norms , and if not the discrepancy is identified .
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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