Topics in Expert System Design: Methodologies and ToolsGiovanni Guida, Carlo Tasso North-Holland, 1989 - 441 pages Expert 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. |
From inside the book
Results 1-3 of 40
Page 95
... discussed a model of a built artifact , this section introduces modeling of and model - based reasoning using an abstract conceptual system . The discipline of project management has standard texts , such as [ Barrie 84 ] , university ...
... discussed a model of a built artifact , this section introduces modeling of and model - based reasoning using an abstract conceptual system . The discipline of project management has standard texts , such as [ Barrie 84 ] , university ...
Page 395
... discussed , referring to the classification presented here . 3. PROBLEMS IN EXPERT SYSTEM EVALUATION The preceding sections have discussed the several aspects of the expert system evaluation that must be considered before an evaluation ...
... discussed , referring to the classification presented here . 3. PROBLEMS IN EXPERT SYSTEM EVALUATION The preceding sections have discussed the several aspects of the expert system evaluation that must be considered before an evaluation ...
Page 396
... discussed below . The second is whether the test cases are representative for the situations that the expert system is likely to encounter in practical use . This is discussed in the following section . Using the terminology introduced ...
... discussed below . The second is whether the test cases are representative for the situations that the expert system is likely to encounter in practical use . This is discussed in the following section . Using the terminology introduced ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
Other editions - View all
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