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 174
... trade - offs ) will constitute the general parameters of an evaluation . Because the future of the system will often depend on the outcome of the evaluation , it is important to not only carefully define what is being evaluated , but ...
... trade - offs ) will constitute the general parameters of an evaluation . Because the future of the system will often depend on the outcome of the evaluation , it is important to not only carefully define what is being evaluated , but ...
Page 188
... trade - off between efficiency and legibility . The separation of control and logic allows refinements to be made which considerably improve efficiency . The resulting programs are however often less intelligible . In APES standard ...
... trade - off between efficiency and legibility . The separation of control and logic allows refinements to be made which considerably improve efficiency . The resulting programs are however often less intelligible . In APES standard ...
Page 300
... trade - offs concerning the use of formal vs informal approaches , direct vs indirect methods [ 4 ] and between weak ( domain independent ) and strong ( domain dependent ) techniques . Typically , knowledge engineers tend to use ...
... trade - offs concerning the use of formal vs informal approaches , direct vs indirect methods [ 4 ] and between weak ( domain independent ) and strong ( domain dependent ) techniques . Typically , knowledge engineers tend to use ...
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