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 126
... decision rules which can be stored in the knowledge base . The GEM operator can be used to interactively generate optimized decision rules when only examples of the decisions are well known . It has been used to generate soybean ...
... decision rules which can be stored in the knowledge base . The GEM operator can be used to interactively generate optimized decision rules when only examples of the decisions are well known . It has been used to generate soybean ...
Page 174
... decision outcomes , criteria of evidence , and even methods of analysis , but , when confronted with the system's ... decision making under high risk circumstances and with large degrees of uncertainty in the data . Although decision ...
... decision outcomes , criteria of evidence , and even methods of analysis , but , when confronted with the system's ... decision making under high risk circumstances and with large degrees of uncertainty in the data . Although decision ...
Page 391
... decision , O accuracy of the final decision , O sensitivity , i.e. the minimum variation in input needed to change the decision , robustness , i.e. the ability to absorb and compensate for non - standard input ( noise , disturbances ...
... decision , O accuracy of the final decision , O sensitivity , i.e. the minimum variation in input needed to change the decision , robustness , i.e. the ability to absorb and compensate for non - standard input ( noise , disturbances ...
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