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 280
... structures we will also discuss structure manipulating types of KS , although it may be debatable whether they refer to ' single step ' , primitive types of inferences , or that they may be in fact composites of primitive KS . Change ...
... structures we will also discuss structure manipulating types of KS , although it may be debatable whether they refer to ' single step ' , primitive types of inferences , or that they may be in fact composites of primitive KS . Change ...
Page 282
... structure of X , structure of Y -- > concept with difference__structure In its basic form a match knowledge source has two structures as its input . These structures are compared . The output is a description in which respects the two ...
... structure of X , structure of Y -- > concept with difference__structure In its basic form a match knowledge source has two structures as its input . These structures are compared . The output is a description in which respects the two ...
Page 284
... Structure For describing task structures we use two types of terms : goal and control statements . Goal statements are specified as an action term and an object , e.g. ' obtain ( data ) ' . Because the task structure specifies when ...
... Structure For describing task structures we use two types of terms : goal and control statements . Goal statements are specified as an action term and an object , e.g. ' obtain ( data ) ' . Because the task structure specifies when ...
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