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 280
The elements on which inferences can be projected are : ( see Figure 5 ) . structure ( of concepts ) concept attribute value - restriction value relation set ( of instances ) instance Figure 5. Part - of hierarchy of KS parameter ...
The elements on which inferences can be projected are : ( see Figure 5 ) . structure ( of concepts ) concept attribute value - restriction value relation set ( of instances ) instance Figure 5. Part - of hierarchy of KS parameter ...
Page 282
The output is a class ( equal , not equal ) or a difference value . structure of X , structure of Y -- > concept with difference__structure In its basic form a match knowledge source has two structures as its input .
The output is a class ( equal , not equal ) or a difference value . structure of X , structure of Y -- > concept with difference__structure In its basic form a match knowledge source has two structures as its input .
Page 284
It is to be expected that this structure can be further refined . An important reason the typing ... Task Structure For describing task structures we use two types of terms : goal and control statements . Goal statements are specified ...
It is to be expected that this structure can be further refined . An important reason the typing ... Task Structure For describing task structures we use two types of terms : goal and control statements . Goal statements are specified ...
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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