Topics in Expert System Design: Methodologies and ToolsExpert 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 12
It comprises five phases , each one characterized by precise goals to be achieved and clear relationships with the other phases . ... The five phases of our life cycle are : Phase 1 - Plausibility study Phase 2 - Demonstration prototype ...
It comprises five phases , each one characterized by precise goals to be achieved and clear relationships with the other phases . ... The five phases of our life cycle are : Phase 1 - Plausibility study Phase 2 - Demonstration prototype ...
Page 14
Phase 2 - Demonstration prototype construction The main goal of Phase 2 is to develop and demonstrate a first limited prototype of the complete expert system . The major output of this phase is therefore a running expert system , called ...
Phase 2 - Demonstration prototype construction The main goal of Phase 2 is to develop and demonstrate a first limited prototype of the complete expert system . The major output of this phase is therefore a running expert system , called ...
Page 291
However , the role of a conceptual model is that it is the input for the Design phase . An important assumption in KADS is that the Analysis phase and Design phase can be strictly separated . In a number of early studies before the KADS ...
However , the role of a conceptual model is that it is the input for the Design phase . An important assumption in KADS is that the Analysis phase and Design phase can be strictly separated . In a number of early studies before the KADS ...
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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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Common terms and phrases
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