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 73
... approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ' . Let us consider all three in turn . ( 1 ) Direct approach ...
... approaches to implementing an expert system in Prolog , which will be here called ' the direct approach ' , ' the metaprogramming approach ' , and ' the metainpertreter approach ' . Let us consider all three in turn . ( 1 ) Direct approach ...
Page 115
... approach can be extremely limiting when general heuristics are not known or domain expert time is at a premium . Machine learning techniques can be used to reduce the dependence on pre - digestion of the problem solving process by ...
... approach can be extremely limiting when general heuristics are not known or domain expert time is at a premium . Machine learning techniques can be used to reduce the dependence on pre - digestion of the problem solving process by ...
Page 135
... approach described here is of little value unless all of its components can be unified in a single knowledge - based system . At first glance , it is not apparent that the diverse operations and representations described in the ...
... approach described here is of little value unless all of its components can be unified in a single knowledge - based system . At first glance , it is not apparent that the diverse operations and representations described in the ...
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 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