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 35
3.4 Bounds on the Task • The task is neither too easy nor too difficult . If the task is too easy ( e.g. , taking a human expert less than a few minutes ) , then the development of the system may not warrant the effort .
3.4 Bounds on the Task • The task is neither too easy nor too difficult . If the task is too easy ( e.g. , taking a human expert less than a few minutes ) , then the development of the system may not warrant the effort .
Page 273
Both in KADS and CSRL these patterns are sought in the structure of reasoning that is used in various tasks : both call these tasks ' generic ... A generic tasks is a prototypical task , which uses a particular method of reasoning .
Both in KADS and CSRL these patterns are sought in the structure of reasoning that is used in various tasks : both call these tasks ' generic ... A generic tasks is a prototypical task , which uses a particular method of reasoning .
Page 284
Task 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 ...
Task 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 ...
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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