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 130
... problem solving over multiple knowledge representations is to allow the selection of the knowledge representation which most suits the problem domain . By choosing the knowledge representation and associated problem solving technique ...
... problem solving over multiple knowledge representations is to allow the selection of the knowledge representation which most suits the problem domain . By choosing the knowledge representation and associated problem solving technique ...
Page 242
... problem was solved . While a problem was usually solved , it was often some proximal form of the user's real problem ( i.e. , the advisor was guilty of a form of solving the wrong problem solving a proximal case of the user's fundamental ...
... problem was solved . While a problem was usually solved , it was often some proximal form of the user's real problem ( i.e. , the advisor was guilty of a form of solving the wrong problem solving a proximal case of the user's fundamental ...
Page 276
... problem solving . By combining knowledge sources ( KS ) via input / output arguments ( meta classes ) an inference structure can be constructed that reflects the required inference competence to accomplish a problem solving task ...
... problem solving . By combining knowledge sources ( KS ) via input / output arguments ( meta classes ) an inference structure can be constructed that reflects the required inference competence to accomplish a problem solving task ...
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