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
Methodologies and Tools Giovanni Guida, Carlo Tasso. objectives of the plausibility study to suggest or discourage ... objective of supporting as much as possible the effectiveness and efficiency of the development process , so as to keep ...
Methodologies and Tools Giovanni Guida, Carlo Tasso. objectives of the plausibility study to suggest or discourage ... objective of supporting as much as possible the effectiveness and efficiency of the development process , so as to keep ...
Page 49
... objectives . Consequently , it is desirable to have a rich collection of tools , or design options , each of which can minimize the time it takes to produce a component or resolve an issue within the prototype . It is better not to ...
... objectives . Consequently , it is desirable to have a rich collection of tools , or design options , each of which can minimize the time it takes to produce a component or resolve an issue within the prototype . It is better not to ...
Page 239
... objectives of recommended responses ( e.g. , the information objective behind a particular diagnostic test ) , improves the human's ability to follow the line of reasoning and evaluate the quality of the advice . This common frame of ...
... objectives of recommended responses ( e.g. , the information objective behind a particular diagnostic test ) , improves the human's ability to follow the line of reasoning and evaluate the quality of the advice . This common frame of ...
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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Common terms and phrases
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