Topics in Expert System Design: Methodologies and ToolsExpert 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 254
Several techniques can be used to externalize processing activities . These include : encouraging the experts to " think - aloud " as they perform the task , using eye - movement equipment to track the pattern in which the practitioner ...
Several techniques can be used to externalize processing activities . These include : encouraging the experts to " think - aloud " as they perform the task , using eye - movement equipment to track the pattern in which the practitioner ...
Page 270
In machine learning these techniques are often qualitative ones ( e.g. Dieterich & Michalski , 1983 ; Mitchel et al . , 1986 ; Hart , 1987 ) . Structures in quantitative data can be induced by using statistical , multivariate techniques ...
In machine learning these techniques are often qualitative ones ( e.g. Dieterich & Michalski , 1983 ; Mitchel et al . , 1986 ; Hart , 1987 ) . Structures in quantitative data can be induced by using statistical , multivariate techniques ...
Page 301
Therefore , formal techniques , usually based on psychological principles , are also being used , in order to put knowledge elicitation on a firmer basis and to avoid getting unstructured and hence messy data . These techniques include ...
Therefore , formal techniques , usually based on psychological principles , are also being used , in order to put knowledge elicitation on a firmer basis and to avoid getting unstructured and hence messy data . These techniques include ...
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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 addition allow analysis application approach attribute building complete components Computer concepts conclusion considered consists construction contains decision defined depends described detailed discussed domain effective elicitation environment evaluation example expert system expertise facilities fact Figure formal frame function given goal human identified implementation important inference input instance integrated Intelligence interaction interface International interpretation knowledge acquisition knowledge base knowledge engineer knowledge representation knowledge-based language learning limited machine major means mechanisms methodology methods objects operations output particular performance phase possible practical presented problem solving produce programming Prolog prototype question reasoning refer refinement relations Report represent representation requirements rules selection shells shows situations solution specific strategies structure studies system development task techniques types validity values