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 41
... companies spend very substantial amounts on outside plant main- tenance , but even with this expenditure , the maintenance must be priori- tized to allow rehabilitation or replacement of the outside plant most in need of maintenance ...
... companies spend very substantial amounts on outside plant main- tenance , but even with this expenditure , the maintenance must be priori- tized to allow rehabilitation or replacement of the outside plant most in need of maintenance ...
Page 168
... companies to buy ( after often first testing on a trial basis ) many alternative representational frameworks and products . However , it may often turn out , that after experimenting with several of them , a specific project will be ...
... companies to buy ( after often first testing on a trial basis ) many alternative representational frameworks and products . However , it may often turn out , that after experimenting with several of them , a specific project will be ...
Page 289
... companies in the Netherlands have adopted and adapted KADS for their standard practice ( e.g. van Lith , 1987 ) . Here we can only summarise some of the major findings . Although we have no well controlled studies in which the same data ...
... companies in the Netherlands have adopted and adapted KADS for their standard practice ( e.g. van Lith , 1987 ) . Here we can only summarise some of the major findings . Although we have no well controlled studies in which the same data ...
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