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 8
... traditional technology transfer . As major motivation , they indicate the peculiarities of this new and unproved technology and its potential impacts on management , technical staff , and end users . Other problems of the application of ...
... traditional technology transfer . As major motivation , they indicate the peculiarities of this new and unproved technology and its potential impacts on management , technical staff , and end users . Other problems of the application of ...
Page 11
... traditional software systems ) which are the elementary objects of design and development activities : in complex ... traditional software systems and motivate the difficulty of directly adapting the traditional concept of software life ...
... traditional software systems ) which are the elementary objects of design and development activities : in complex ... traditional software systems and motivate the difficulty of directly adapting the traditional concept of software life ...
Page 69
... traditional software life - cycle . According to the review in Agresti ( 1986 ) , the objective of prototyping is to clarify the characteristics and operation of a product or a system by constructing a version that can be exercised ...
... traditional software life - cycle . According to the review in Agresti ( 1986 ) , the objective of prototyping is to clarify the characteristics and operation of a product or a system by constructing a version that can be exercised ...
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