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 298
... elicitation technique can also be affected by the personality traits of the domain expert [ 2 ] . Much research has tackled the problem of devising tools [ 3 ] and techniques [ 4 ] that could support , speed up and eventually automate ...
... elicitation technique can also be affected by the personality traits of the domain expert [ 2 ] . Much research has tackled the problem of devising tools [ 3 ] and techniques [ 4 ] that could support , speed up and eventually automate ...
Page 346
... elicitation process . AQUINAS , an extended version of the Expertise Transfer System ( ETS ) [ 28 ] is a hybrid tool that includes features to elicit distinctions , decompose problems , combine uncertain information , automatic ...
... elicitation process . AQUINAS , an extended version of the Expertise Transfer System ( ETS ) [ 28 ] is a hybrid tool that includes features to elicit distinctions , decompose problems , combine uncertain information , automatic ...
Page 347
... elicitation tool currently being developed at the GMD's expert system research group . We showed how such a tool integrating different weak elicitation methods , each specialized in a domain , can help reduce the knowledge acquisition ...
... elicitation tool currently being developed at the GMD's expert system research group . We showed how such a tool integrating different weak elicitation methods , each specialized in a domain , can help reduce the knowledge acquisition ...
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