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 156
... produce the assembly language code needed for programming the Motorola 6809 processor within the Cliniscan . This double translation process enabled us to produce an instrument - based system ready for field testing in approximately one ...
... produce the assembly language code needed for programming the Motorola 6809 processor within the Cliniscan . This double translation process enabled us to produce an instrument - based system ready for field testing in approximately one ...
Page 159
... producing a configuration layout for a VAX system specified by the customer . XCON was expected to evaluate the ordered parts for consistency , suggest additions and deletions , and produce a layout diagram . After many years of ...
... producing a configuration layout for a VAX system specified by the customer . XCON was expected to evaluate the ordered parts for consistency , suggest additions and deletions , and produce a layout diagram . After many years of ...
Page 305
... produce an abstract model of the problem that can then be implemented and refined . Thus , knowledge acquisition can be characterized as an independent enterprise and not necessarily as an ancillary activity of knowledge engineering ...
... produce an abstract model of the problem that can then be implemented and refined . Thus , knowledge acquisition can be characterized as an independent enterprise and not necessarily as an ancillary activity of knowledge engineering ...
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