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 97
... factors ; o Concrete objects , including descriptions of particular activities , milestones and risk factors for particular projects ; o Attributes of objects , including activity duration , start time , end time and utilization of ...
... factors ; o Concrete objects , including descriptions of particular activities , milestones and risk factors for particular projects ; o Attributes of objects , including activity duration , start time , end time and utilization of ...
Page 134
... factors . Rules are used to recognize patterns in the data and a causal network is used to identify physiologic ... factor associated with a variable is aged if the value is not supplied again . The aging factor used is tailored to the ...
... factors . Rules are used to recognize patterns in the data and a causal network is used to identify physiologic ... factor associated with a variable is aged if the value is not supplied again . The aging factor used is tailored to the ...
Page 364
... factors . Often , given the same set of symptoms , the expert may wish to conclude different values with different certainty factors . • REDUNDANCY - Rules which are redundant can lead to serious problems . They may cause the same ...
... factors . Often , given the same set of symptoms , the expert may wish to conclude different values with different certainty factors . • REDUNDANCY - Rules which are redundant can lead to serious problems . They may cause the same ...
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