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 119
... defined over the links , and structure within the range of values of a variable or among a group of variables can be captured as a generalization tree . Although the original ADVISE system , on which this integrated approach is based ...
... defined over the links , and structure within the range of values of a variable or among a group of variables can be captured as a generalization tree . Although the original ADVISE system , on which this integrated approach is based ...
Page 120
... defined methods because they can be pre - compiled into the system rather than being interpretively executed . 5.1.3 . Using Networks of Objects The simplest network of objects used in the system is the inheritance hierarchy for the ...
... defined methods because they can be pre - compiled into the system rather than being interpretively executed . 5.1.3 . Using Networks of Objects The simplest network of objects used in the system is the inheritance hierarchy for the ...
Page 163
... defined , and it may be defined differently by the different people who identified the opportunity for using expert system methodologies . The participants in the identification stage usually come from one or more of the following ...
... defined , and it may be defined differently by the different people who identified the opportunity for using expert system methodologies . The participants in the identification stage usually come from one or more of the following ...
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