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 14
... needed to prepare the insertion of the expert system in its target operational site and to the expected organizational transformations induced by the expert system in the operating environment ; practical implementability , focusing on ...
... needed to prepare the insertion of the expert system in its target operational site and to the expected organizational transformations induced by the expert system in the operating environment ; practical implementability , focusing on ...
Page 154
... needed to expand a first simple model of 10 end - points ( advice - giving conclusions about the probable status of the patient and the need for further testing ) into one that had 25 conclusions and 50 inference rules . After ...
... needed to expand a first simple model of 10 end - points ( advice - giving conclusions about the probable status of the patient and the need for further testing ) into one that had 25 conclusions and 50 inference rules . After ...
Page 369
... needed to show the relations between rules and attributes . Utilities are needed to show which rules determine the value of an attribute and which rules refer to the value of an attribute . Information about which rules reference a ...
... needed to show the relations between rules and attributes . Utilities are needed to show which rules determine the value of an attribute and which rules refer to the value of an attribute . Information about which rules reference a ...
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