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 4
... development of a methodology for design and construction of expert systems . The main standpoint in this work is that a methodology for developing expert systems , to be utilized in a real ... system development 4 G. Guida and C. Tasso.
... development of a methodology for design and construction of expert systems . The main standpoint in this work is that a methodology for developing expert systems , to be utilized in a real ... system development 4 G. Guida and C. Tasso.
Page 9
... system development methodology and to identify a suitable set of requirements for it . We assume here the following definition for the term methodology : a methodology is an integrated set of methods ( procedures ) for carrying out a ...
... system development methodology and to identify a suitable set of requirements for it . We assume here the following definition for the term methodology : a methodology is an integrated set of methods ( procedures ) for carrying out a ...
Page 10
... system development can allow identification of a set of currently unsolved needs and exigencies , which motivate the main characteristics of our life cycle definition . These are shortly described below : In expert system development ...
... system development can allow identification of a set of currently unsolved needs and exigencies , which motivate the main characteristics of our life cycle definition . These are shortly described below : In expert system development ...
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