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 71
... Prolog is an excellent tool for protoyping of expert systems because its strengths precisely correspond to the needs of prototyping in general and expert systems in ... Prolog is Fast prototyping of expert systems using Prolog 71.
... Prolog is an excellent tool for protoyping of expert systems because its strengths precisely correspond to the needs of prototyping in general and expert systems in ... Prolog is Fast prototyping of expert systems using Prolog 71.
Page 73
... Prolog clauses and the knowledge base is executed as a Prolog program directly by Prolog interpreter . This approach is simple , but it is perhaps too simplistic to be generally recommended . The shortcomings are : ( a ) Expert system ...
... Prolog clauses and the knowledge base is executed as a Prolog program directly by Prolog interpreter . This approach is simple , but it is perhaps too simplistic to be generally recommended . The shortcomings are : ( a ) Expert system ...
Page 84
... Prolog implementation on parallel cous ?? The practical limitation of Prolog can turn out to be its relative computational inefficiency , relative compared with procedural languages such as Pascal and C. Also , not many existing ...
... Prolog implementation on parallel cous ?? The practical limitation of Prolog can turn out to be its relative computational inefficiency , relative compared with procedural languages such as Pascal and C. Also , not many existing ...
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