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 38
... The need for the task is projected to continue for several years . The need must exist enough beyond the period of system de- velopment to generate the payoff . • The domain is fairly stable or , at least 388 D.S. Prerau.
... The need for the task is projected to continue for several years . The need must exist enough beyond the period of system de- velopment to generate the payoff . • The domain is fairly stable or , at least 388 D.S. Prerau.
Page 199
... period ( obviously this does depend on the shell ) but the required investment in training someone in PROLOG or LISP is much greater . The toolkits , being very sophisticated collections of software require a long and intensive training ...
... period ( obviously this does depend on the shell ) but the required investment in training someone in PROLOG or LISP is much greater . The toolkits , being very sophisticated collections of software require a long and intensive training ...
Page 254
... period and the practitioner is asked to reconstruct ( i.e. , draw or otherwise describe ) the information presented . Memory distortions ( omissions ; insertions ) reveal the conceptual framework ( i.e. , schemata ) that the ...
... period and the practitioner is asked to reconstruct ( i.e. , draw or otherwise describe ) the information presented . Memory distortions ( omissions ; insertions ) reveal the conceptual framework ( i.e. , schemata ) that the ...
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