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 56
... necessary to ensure the proper instantiation of new instances . Because of the complex structure of many knowledge bases , the expansion of a knowledge base requires special - purpose tools for displaying and browsing the knowledge base ...
... necessary to ensure the proper instantiation of new instances . Because of the complex structure of many knowledge bases , the expansion of a knowledge base requires special - purpose tools for displaying and browsing the knowledge base ...
Page 65
... necessary to lose control over the application interface while in the CRL - OPS Workcenter . Trace Viewport Control Production Memory HANDLE - PRIMARY - ALARM [ 10 ] HANDLE - SECONDARY - ALARM ( 10 ) MOTIFY - NOMINAL ( 6 ) TERMINATION ...
... necessary to lose control over the application interface while in the CRL - OPS Workcenter . Trace Viewport Control Production Memory HANDLE - PRIMARY - ALARM [ 10 ] HANDLE - SECONDARY - ALARM ( 10 ) MOTIFY - NOMINAL ( 6 ) TERMINATION ...
Page 107
... necessary or convenient . 7. Conclusions There are significant opportunities for advancing the state of the art in developing model - based reasoning systems . The cost to develop these systems can be imposing : in many cases , there is ...
... necessary or convenient . 7. Conclusions There are significant opportunities for advancing the state of the art in developing model - based reasoning systems . The cost to develop these systems can be imposing : in many cases , there is ...
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