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 154
... final conclusions from data patterns ( data abstraction process ) , and those which led to final conclusions from patterns of intermediate hypotheses ( classification step ) . Figure 3 illustrates the structure of the rule base in a ...
... final conclusions from data patterns ( data abstraction process ) , and those which led to final conclusions from patterns of intermediate hypotheses ( classification step ) . Figure 3 illustrates the structure of the rule base in a ...
Page 168
... final system ? Clearly the answer depends in part on what business the developers are in . If they are going to be routinely developing expert systems , it will be wise to consider development flexibility , cost , and effectiveness as ...
... final system ? Clearly the answer depends in part on what business the developers are in . If they are going to be routinely developing expert systems , it will be wise to consider development flexibility , cost , and effectiveness as ...
Page 391
... final decision , O accuracy of the final decision , O sensitivity , i.e. the minimum variation in input needed to change the decision , robustness , i.e. the ability to absorb and compensate for non - standard input ( noise ...
... final decision , O accuracy of the final decision , O sensitivity , i.e. the minimum variation in input needed to change the decision , robustness , i.e. the ability to absorb and compensate for non - standard input ( noise ...
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