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 250
... preliminary mapping of the semantics of the domain , to more structured knowledge elicitation techniques to refine the initial semantic structure , to controlled experiments designed to reveal the knowledge and processing strategies ...
... preliminary mapping of the semantics of the domain , to more structured knowledge elicitation techniques to refine the initial semantic structure , to controlled experiments designed to reveal the knowledge and processing strategies ...
Page 300
... preliminary activities , such as domain and problem assessment , and post - mortem activities such as system maintenance . As these problems are tangential to the problem of knowledge acquisition , they will not be included in our ...
... preliminary activities , such as domain and problem assessment , and post - mortem activities such as system maintenance . As these problems are tangential to the problem of knowledge acquisition , they will not be included in our ...
Page 423
... preliminary analysis keywords : domain evaluation - appropriateness of technology - technical feasibility - organizational impact - cost / benefit analysis . This section focuses on a crucial problem arising in the application of expert ...
... preliminary analysis keywords : domain evaluation - appropriateness of technology - technical feasibility - organizational impact - cost / benefit analysis . This section focuses on a crucial problem arising in the application of expert ...
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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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