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 41
... Plant using Heuristic Expert Techniques ) is expert at detecting problems in deteriorating telephone company outside plant before any customer reports are received , and in prioritizing dispatching for repair and rehabilitation [ 9 ] ...
... Plant using Heuristic Expert Techniques ) is expert at detecting problems in deteriorating telephone company outside plant before any customer reports are received , and in prioritizing dispatching for repair and rehabilitation [ 9 ] ...
Page 132
... PLANT / ds which serves as a consultant for soybean disease diagnosis . The PLANT / cd system predicts the cutworm damage to corn and the BABY system was developed as a ... PLANT / ds The PLANT / ds system 132 A.B. Baskin and R.S. Michalski.
... PLANT / ds which serves as a consultant for soybean disease diagnosis . The PLANT / cd system predicts the cutworm damage to corn and the BABY system was developed as a ... PLANT / ds The PLANT / ds system 132 A.B. Baskin and R.S. Michalski.
Page 133
Methodologies and Tools Giovanni Guida, Carlo Tasso. 8.1 . PLANT / ds The PLANT / ds system uses data about the condition of plants in a soybean field to predict which of the 19 most common discase ( s ) may be present [ 29 ] . The ...
Methodologies and Tools Giovanni Guida, Carlo Tasso. 8.1 . PLANT / ds The PLANT / ds system uses data about the condition of plants in a soybean field to predict which of the 19 most common discase ( s ) may be present [ 29 ] . The ...
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