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 178
... rates for induced production rules , Unpublished , 1988 . [ 37 ] Buchanan , B.G. , and Shortliffe , E.H. , The Problem of Evaluation , Chapter 30 in Rule Based Expert Systems : The MYCIN Experiments of the Stanford Heuristic Programming ...
... rates for induced production rules , Unpublished , 1988 . [ 37 ] Buchanan , B.G. , and Shortliffe , E.H. , The Problem of Evaluation , Chapter 30 in Rule Based Expert Systems : The MYCIN Experiments of the Stanford Heuristic Programming ...
Page 208
... rate how well each tool supports each needed feature or capability . The value of such studies depends on the extent to which they focus on capabilities of tools rather than features , as discussed below . Expert system tools include ...
... rate how well each tool supports each needed feature or capability . The value of such studies depends on the extent to which they focus on capabilities of tools rather than features , as discussed below . Expert system tools include ...
Page 301
... rate each element against each construct , therefore producing a rating grid . Finally , the system produces an entailment graph , that shows the implications between halves of constructs . These implications are then transformed into ...
... rate each element against each construct , therefore producing a rating grid . Finally , the system produces an entailment graph , that shows the implications between halves of constructs . These implications are then transformed into ...
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