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 33
... domain expert is available to work on the expert system project . It must be very likely that a leading domain expert will be available to the project . The domain expert is the source of expertise for the expert system . If the system ...
... domain expert is available to work on the expert system project . It must be very likely that a leading domain expert will be available to the project . The domain expert is the source of expertise for the expert system . If the system ...
Page 251
... domain expert prepare and give an overview presentation . This is likely to be a more effective approach to gain broad perspective of the demands of the domain than the approach typically recommended of having the expert select and ...
... domain expert prepare and give an overview presentation . This is likely to be a more effective approach to gain broad perspective of the demands of the domain than the approach typically recommended of having the expert select and ...
Page 254
... domain practitioner as he or she performs the task . Several techniques can be used to externalize processing activities . These include : encouraging the experts to " think - aloud " as they perform the task , using eye - movement ...
... domain practitioner as he or she performs the task . Several techniques can be used to externalize processing activities . These include : encouraging the experts to " think - aloud " as they perform the task , using eye - movement ...
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