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 28
... selection elsewhere in GTE and in several other companies . The In the next section , we will examine the process of domain selection . following section will discuss the COMPASS and PROPHET expert system projects and how the domain ...
... selection elsewhere in GTE and in several other companies . The In the next section , we will examine the process of domain selection . following section will discuss the COMPASS and PROPHET expert system projects and how the domain ...
Page 41
... selection methodology was again used at GTE Laboratories in the selection of the domain for the project that is presently developing the PROPHET expert system . In the domain selection process that resulted in the selection of the ...
... selection methodology was again used at GTE Laboratories in the selection of the domain for the project that is presently developing the PROPHET expert system . In the domain selection process that resulted in the selection of the ...
Page 127
... selection - VARSEL , event ( example ) se- lection - ESEL . If the table of examples is organized with the attributes across the top as column headers and the examples themselves as rows , then these operations correspond to selecting a ...
... selection - VARSEL , event ( example ) se- lection - ESEL . If the table of examples is organized with the attributes across the top as column headers and the examples themselves as rows , then these operations correspond to selecting a ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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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