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
... concepts ( or instances ) . a concept can change , i.e. its values can change a concept can generate a new , related concept two concepts can generate a concept ( relation ) Because there are special types of inferences required in ...
... concepts ( or instances ) . a concept can change , i.e. its values can change a concept can generate a new , related concept two concepts can generate a concept ( relation ) Because there are special types of inferences required in ...
Page 281
Methodologies and Tools Giovanni Guida, Carlo Tasso. Generating new concepts , structures or instances instantiate concept -- > instance This type of knowledge source creates an instance of a generic concept . Instantiation involves ...
Methodologies and Tools Giovanni Guida, Carlo Tasso. Generating new concepts , structures or instances instantiate concept -- > instance This type of knowledge source creates an instance of a generic concept . Instantiation involves ...
Page 310
... concept ' amnesia ' . This was achieved via a pop - up menu which resulted from the user selecting the concept ' amnesia ' from the scrolling concepts menu . A mouse- click on any of the fragments allows the user to apply a number of ...
... concept ' amnesia ' . This was achieved via a pop - up menu which resulted from the user selecting the concept ' amnesia ' from the scrolling concepts menu . A mouse- click on any of the fragments allows the user to apply a number of ...
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