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 12
... components , possibly at several levels of detail and abstraction . - Precise definition of each component in terms of goals , and inputs and outputs , and activities involved . Definition of the logical relationships between components ...
... components , possibly at several levels of detail and abstraction . - Precise definition of each component in terms of goals , and inputs and outputs , and activities involved . Definition of the logical relationships between components ...
Page 92
... components ; examine and change component parameters ; and introduce or remove faults . In addition , the user can ask the system or a component to perform particular functions . Model components highlight to show the changing focus of ...
... components ; examine and change component parameters ; and introduce or remove faults . In addition , the user can ask the system or a component to perform particular functions . Model components highlight to show the changing focus of ...
Page 338
... component is not only to recommend knowledge elicitation methods but also to automatically employ them . 6. RULE - GUIDED EMPLOYMENT OF KNOWLEDGE ELICITATION METHODS THROUGH THE WATCHER An example illustrates the potential role of a ...
... component is not only to recommend knowledge elicitation methods but also to automatically employ them . 6. RULE - GUIDED EMPLOYMENT OF KNOWLEDGE ELICITATION METHODS THROUGH THE WATCHER An example illustrates the potential role of a ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
14 other sections not shown
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Common terms and phrases
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