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 15
... construction of the knowledge base . The knowledge base is developed in an incremental way through iterations over the following main steps : - knowledge elicitation from the experts ; - knowledge coding and loading in the knowledge ...
... construction of the knowledge base . The knowledge base is developed in an incremental way through iterations over the following main steps : - knowledge elicitation from the experts ; - knowledge coding and loading in the knowledge ...
Page 145
... CONSTRUCTION : FROM PROTOTYPING TO REFINEMENT Casimir A. KULIKOWSKI Department of Computer Science Rutgers University New Brunswick , NJ , USA 1. Introduction As the second generation of expert systems moves towards maturity , the ...
... CONSTRUCTION : FROM PROTOTYPING TO REFINEMENT Casimir A. KULIKOWSKI Department of Computer Science Rutgers University New Brunswick , NJ , USA 1. Introduction As the second generation of expert systems moves towards maturity , the ...
Page 162
... construction process . Many expert systems shells were built with a panoply of knowledge acquisition tools , including the use of induction modules in order to overcome this bottleneck [ 31 ] . It was soon found out that capturing ...
... construction process . Many expert systems shells were built with a panoply of knowledge acquisition tools , including the use of induction modules in order to overcome this bottleneck [ 31 ] . It was soon found out that capturing ...
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