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 146
... major stages by which a knowledge base is built was agreed upon in the workshop session on Constructing an Expert System , chaired by Bruce Buchanan , in which I participated . Members of several of the first teams of expert systems ...
... major stages by which a knowledge base is built was agreed upon in the workshop session on Constructing an Expert System , chaired by Bruce Buchanan , in which I participated . Members of several of the first teams of expert systems ...
Page 149
... major problem consists of designing distinct object types , structured in a hierarchy so that desired properties will be inherited , and procedural attachements for problem solving can be efficiently connected to them ; 3 ) Logic ...
... major problem consists of designing distinct object types , structured in a hierarchy so that desired properties will be inherited , and procedural attachements for problem solving can be efficiently connected to them ; 3 ) Logic ...
Page 152
... major oil company : Amoco [ 6,16 ] . The third system is R1 / XCON [ 3 , 17 ] a system developed by Digital in collaboration with John McDermott's group at Carnegie - Mellon University . This has become the major " success story " among ...
... major oil company : Amoco [ 6,16 ] . The third system is R1 / XCON [ 3 , 17 ] a system developed by Digital in collaboration with John McDermott's group at Carnegie - Mellon University . This has become the major " success story " among ...
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