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. |
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Page 59
... considerable customizations can be achieved through the modification of default methods . " In the large " modifications are supported by example and explicit constraints . For instance , the substitution of a new interface for one ...
... considerable customizations can be achieved through the modification of default methods . " In the large " modifications are supported by example and explicit constraints . For instance , the substitution of a new interface for one ...
Page 146
... considerable progress in experimentation with expert system formalisms since 1981 , but the major stages of model construction still remain roughly the same . However , considerable new insights have been obtained in the areas of ...
... considerable progress in experimentation with expert system formalisms since 1981 , but the major stages of model construction still remain roughly the same . However , considerable new insights have been obtained in the areas of ...
Page 196
... considerable assistance to the expert when developing an understanding of probabilities and their manipulation . A " What If " facility is also extremely helpful both during debugging and normal operation . 5.9 Hybrid Tools Some tools ...
... considerable assistance to the expert when developing an understanding of probabilities and their manipulation . A " What If " facility is also extremely helpful both during debugging and normal operation . 5.9 Hybrid Tools Some tools ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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abstract activities AI Magazine application approach Artificial Intelligence assessment attribute backward chaining behavior Breuker building cognitive complete components Computer concepts conceptual model construction context cycle decision defined described diagnosis domain expert domain knowledge environment example expert system development expert system evaluation expert system technology expertise facilities Figure formal function goal graphical heuristics identified implementation important inductive input instance integrated interaction interface interpretation models KADS KCML knowledge acquisition knowledge base Knowledge Craft knowledge elicitation knowledge engineer knowledge representation knowledge-based systems KRITON language layer LISP machine machine learning metaclasses methodology methods model-based reasoning MYCIN objects operations OPS5 output particular performance phase possible problem solving problem solving process produce programming Prolog protocol analysis prototype refinement relations reliability repertory grid represent requirements rule-based rules selection shells situations software engineering solution specific strategies target system task techniques types validity values