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 120
... individual instance vari- ables . In addition to the predefined inheritance hierarchy , the knowledge engineer can define additional networks for use in the problem solving process . For instance , a goal tree can be defined to capture ...
... individual instance vari- ables . In addition to the predefined inheritance hierarchy , the knowledge engineer can define additional networks for use in the problem solving process . For instance , a goal tree can be defined to capture ...
Page 137
... individual laboratory tests would be included in a table of other attributes and both might be included together in a knowledge base segment called test kb : test_kb { class network ( subclass , superclass ) { : two_instrument_test ...
... individual laboratory tests would be included in a table of other attributes and both might be included together in a knowledge base segment called test kb : test_kb { class network ( subclass , superclass ) { : two_instrument_test ...
Page 174
... individual payoffs ( and trade - offs ) will constitute the general parameters of an evaluation . Because the future of the system will often depend on the outcome of the evaluation , it is important to not only carefully define what is ...
... individual payoffs ( and trade - offs ) will constitute the general parameters of an evaluation . Because the future of the system will often depend on the outcome of the evaluation , it is important to not only carefully define what is ...
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