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 17
... environment , which often imposes severe constraints to hardware and software tools to be used for implementation of ... environment utilized for the construction of the prototype includes specific tools for the generation of a delivery ...
... environment , which often imposes severe constraints to hardware and software tools to be used for implementation of ... environment utilized for the construction of the prototype includes specific tools for the generation of a delivery ...
Page 206
... environment is used to mean the environment in which a tool is used to design and implement an expert system . The expert system developed with a tool and delivered to its end - users is referred to as the target ( expert ) system , and ...
... environment is used to mean the environment in which a tool is used to design and implement an expert system . The expert system developed with a tool and delivered to its end - users is referred to as the target ( expert ) system , and ...
Page 210
... environment , or of the target expert system into the delivery environment ) , a tool capability ( e.g. , supporting the integration of expert systems into existing environments ) , or a metric to be applied to other tool capabilities ...
... environment , or of the target expert system into the delivery environment ) , a tool capability ( e.g. , supporting the integration of expert systems into existing environments ) , or a metric to be applied to other tool capabilities ...
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