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 124
... contain one attribute in the example above . 5.3.2 . Operations on Tables The system table object comes with a ... containing all of the rows ( without duplication ) from the two input tables . The input tables for union , intersection ...
... contain one attribute in the example above . 5.3.2 . Operations on Tables The system table object comes with a ... containing all of the rows ( without duplication ) from the two input tables . The input tables for union , intersection ...
Page 275
... contains concepts and relations which form structures that represent generic facts and models ( e.g. of processes or devices ) . The knowledge in this layer is task - neutral in the sense that there are no means to control its use ...
... contains concepts and relations which form structures that represent generic facts and models ( e.g. of processes or devices ) . The knowledge in this layer is task - neutral in the sense that there are no means to control its use ...
Page 317
... contain that fragment . All fragments , concepts and groups are referenced by their internal instance name so that ... contains a note from the knowledge engineer which is attached to this fragment . This is used as an anchor point for ...
... contain that fragment . All fragments , concepts and groups are referenced by their internal instance name so that ... contains a note from the knowledge engineer which is attached to this fragment . This is used as an anchor point for ...
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