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 28
... domains to select the best available application . This paper will examine the process of domain selection for an expert sys- tem and will detail a set of attributes that are desired in a good expert system domain . The selection ...
... domains to select the best available application . This paper will examine the process of domain selection for an expert sys- tem and will detail a set of attributes that are desired in a good expert system domain . The selection ...
Page 29
... domain is selected . The attribute list can used to to justify the decision . Although the above methodology pertains to the situation where domain se- lectors are given a wide choice of domains , the same techniques can be used when ...
... domain is selected . The attribute list can used to to justify the decision . Although the above methodology pertains to the situation where domain se- lectors are given a wide choice of domains , the same techniques can be used when ...
Page 290
... domain model- may exist , which defines all potential solutions . This is for instance the case in the statistical consultancy domain , where an apparent combination of planning and design tasks is reduced to classification and ...
... domain model- may exist , which defines all potential solutions . This is for instance the case in the statistical consultancy domain , where an apparent combination of planning and design tasks is reduced to classification and ...
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