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 298
... knowledge elicitation technique can also be affected by the personality traits of the domain expert [ 2 ] . Much ... engineer can be provided with . The rest of the paper is organized as follows . In section 2 we outline a functional model of ...
... knowledge elicitation technique can also be affected by the personality traits of the domain expert [ 2 ] . Much ... engineer can be provided with . The rest of the paper is organized as follows . In section 2 we outline a functional model of ...
Page 300
... knowledge elicitation sessions and ending with the system's implementation , there are a number of tasks that the knowledge engineer has to perform which are not covered here . These tasks include some preliminary activities , such as ...
... knowledge elicitation sessions and ending with the system's implementation , there are a number of tasks that the knowledge engineer has to perform which are not covered here . These tasks include some preliminary activities , such as ...
Page 306
... knowledge engineers , life can be made more pleasant by the provision of good life - cycle tools , but it seems to ... Engineer's Assistant ) was motivated by the idea of building a knowledge engineering toolkit that could provide a ...
... knowledge engineers , life can be made more pleasant by the provision of good life - cycle tools , but it seems to ... Engineer's Assistant ) was motivated by the idea of building a knowledge engineering toolkit that could provide a ...
Contents
From life cycle to development | 3 |
Choosing an expert system domain | 27 |
Tools and motivations | 47 |
Copyright | |
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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