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 152
... developed by Digital in collaboration with John McDermott's group at Carnegie - Mellon University . This has become the major " success story " among industrial applications due to Digital's long - term commitment , and the productivity ...
... developed by Digital in collaboration with John McDermott's group at Carnegie - Mellon University . This has become the major " success story " among industrial applications due to Digital's long - term commitment , and the productivity ...
Page 172
... ( developed by the American Rheumatological Association , and elaborated in greater detail by the Missouri research team of Dr. Gordon Sharp and his associates for the connective tissue diseases ) , could serve to rank rule modification ...
... ( developed by the American Rheumatological Association , and elaborated in greater detail by the Missouri research team of Dr. Gordon Sharp and his associates for the connective tissue diseases ) , could serve to rank rule modification ...
Page 184
... developed for treating Glaucoma ( Kulikowski and Weiss [ 13 ] ) , and out of this the EXPERT shell was developed . The rules in EXPERT are written in a high level language which is compiled into FORTRAN for reasons of portability and ...
... developed for treating Glaucoma ( Kulikowski and Weiss [ 13 ] ) , and out of this the EXPERT shell was developed . The rules in EXPERT are written in a high level language which is compiled into FORTRAN for reasons of portability and ...
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