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 21
... claims : - - - Expert system technology is still largely relying today on empirical methods and is not supported by sound and general methodologies . It is therefore more like handicraft than engineering , and it lacks several of the ...
... claims : - - - Expert system technology is still largely relying today on empirical methods and is not supported by sound and general methodologies . It is therefore more like handicraft than engineering , and it lacks several of the ...
Page 166
... claims to be applicable in different contexts . The first and most important outcome of this phase is to obtain a decomposition of the overall problem into subproblems . These in turn should be likewise succesively decomposed , until ...
... claims to be applicable in different contexts . The first and most important outcome of this phase is to obtain a decomposition of the overall problem into subproblems . These in turn should be likewise succesively decomposed , until ...
Page 298
... claims to provide a survey of knowledge acquisition techniques , while almost all of the mentioned techniques only address the elicitation level of the task . The bold arrows represent the ordering relations between the different ...
... claims to provide a survey of knowledge acquisition techniques , while almost all of the mentioned techniques only address the elicitation level of the task . The bold arrows represent the ordering relations between the different ...
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