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 239
... machine . There are several simple steps that can be taken to increase the ability of the joint person - machine system to adapt to unanticipated situations . First , it is important to ensure that the person will have sufficient ...
... machine . There are several simple steps that can be taken to increase the ability of the joint person - machine system to adapt to unanticipated situations . First , it is important to ensure that the person will have sufficient ...
Page 242
... Machine decision support must be more than a solution plus justification . It must be structured around the problem - solving process and involve close cooperation with the human practitioner in formulating the problem and in ...
... Machine decision support must be more than a solution plus justification . It must be structured around the problem - solving process and involve close cooperation with the human practitioner in formulating the problem and in ...
Page 245
... machine's decision in the form of a trace of the detailed process by which the machine generated the advice . Furthermore , the human - in - the - loop must decide , based on his own assessment of the world and without any support ...
... machine's decision in the form of a trace of the detailed process by which the machine generated the advice . Furthermore , the human - in - the - loop must decide , based on his own assessment of the world and without any support ...
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