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 329
... protocol analysis depends quite decisively on the quality of the protocol recording . Only if the protocol is actually one of thinking - aloud during a problem solving process and only if this protocol has been correctly transcribed ...
... protocol analysis depends quite decisively on the quality of the protocol recording . Only if the protocol is actually one of thinking - aloud during a problem solving process and only if this protocol has been correctly transcribed ...
Page 330
... protocol . 2.2.2 Limits of the Protocol Analysis in KRITON The automated parts of the protocol analysis have to be limited to those phases not requiring interpretation of the data . Thus the first two steps can be automated , even if ...
... protocol . 2.2.2 Limits of the Protocol Analysis in KRITON The automated parts of the protocol analysis have to be limited to those phases not requiring interpretation of the data . Thus the first two steps can be automated , even if ...
Page 346
... analysis . The clustering distances being computed using the distances the ... protocol - editor and the interpretation - model librarian helping to choose ... analysis methods to present the expert with what he really said and with the ...
... analysis . The clustering distances being computed using the distances the ... protocol - editor and the interpretation - model librarian helping to choose ... analysis methods to present the expert with what he really said and with the ...
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