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 6
... engineering approaches . The European Space Agency ( ESA ) defines , very synthetically , a complete expert system life cycle to be followed in all ESA internal applications ( ESA , 1986 ) . For each phase , precise gaols , outputs ...
... engineering approaches . The European Space Agency ( ESA ) defines , very synthetically , a complete expert system life cycle to be followed in all ESA internal applications ( ESA , 1986 ) . For each phase , precise gaols , outputs ...
Page 298
... engineer can be provided with . The rest of the paper is organized as follows . In section 2 we outline a functional model of knowledge engineering that will provide both the basis for clarifying the typology of the knowledge ...
... engineer can be provided with . The rest of the paper is organized as follows . In section 2 we outline a functional model of knowledge engineering that will provide both the basis for clarifying the typology of the knowledge ...
Page 306
... Engineer's Assistant ) was motivated by the idea of building a knowledge engineering toolkit that could provide a comprehensive range of tools to help the knowledge engineer fill the gap between the raw data and the final system . The ...
... Engineer's Assistant ) was motivated by the idea of building a knowledge engineering toolkit that could provide a comprehensive range of tools to help the knowledge engineer fill the gap between the raw data and the final system . The ...
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