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 5
three most specific technical aspects of the expert system development process . Also the two later proposals presented in ( Harmon and King , 1985 ) and in ( Waterman , 1986 ) 1986 ) can not again be considered detailed methodologies ...
three most specific technical aspects of the expert system development process . Also the two later proposals presented in ( Harmon and King , 1985 ) and in ( Waterman , 1986 ) 1986 ) can not again be considered detailed methodologies ...
Page 227
The framework presented above shows how to use specific assessment techniques to apply specific metrics to specific capabilities of a tool for a specific application in a specific context . The associated methodology shows how to ...
The framework presented above shows how to use specific assessment techniques to apply specific metrics to specific capabilities of a tool for a specific application in a specific context . The associated methodology shows how to ...
Page 247
The problem of knowledge acquisition is viewed as a problem of gathering and translating specific domain knowledge into the syntax of a particular computational formalism ( e.g. , production system rules ) . This view is reinforced by ...
The problem of knowledge acquisition is viewed as a problem of gathering and translating specific domain knowledge into the syntax of a particular computational formalism ( e.g. , production system rules ) . This view is reinforced by ...
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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