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 88
... the structure and function of the model available to the user for inspection , extension and modification . The interface for these systems must support both the developers 888 J.C. Kunz , M.J. Stelzner and M.D. Williams.
... the structure and function of the model available to the user for inspection , extension and modification . The interface for these systems must support both the developers 888 J.C. Kunz , M.J. Stelzner and M.D. Williams.
Page 128
... inspected for its coverage of the full range of input values ( completeness ) or for the uniqueness of its reported result for any given input pattern ( consistency ) . When inconsistencies or omissions are detected , additional rules ...
... inspected for its coverage of the full range of input values ( completeness ) or for the uniqueness of its reported result for any given input pattern ( consistency ) . When inconsistencies or omissions are detected , additional rules ...
Page 266
... inspection : these have to be obtained from selections in long term memory ( cf Nisbett & Wilson , 1977 vs. Ericsson & Simon , 1979 ) . On the other hand , thinking aloud techniques facilitate accessibility , because the problem solving ...
... inspection : these have to be obtained from selections in long term memory ( cf Nisbett & Wilson , 1977 vs. Ericsson & Simon , 1979 ) . On the other hand , thinking aloud techniques facilitate accessibility , because the problem solving ...
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