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 12
... activities prescribed by a methodology can be organized . The design of a life cycle requires to take some fundamental decisions and to make them explicit through appropriate definitions , namely : Identification of a suitable ...
... activities prescribed by a methodology can be organized . The design of a life cycle requires to take some fundamental decisions and to make them explicit through appropriate definitions , namely : Identification of a suitable ...
Page 97
... activities , milestones , risk 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 ...
... activities , milestones , risk 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 ...
Page 300
... activities , such as domain and problem assessment , and post - mortem activities such as system maintenance . As these problems are tangential to the problem of knowledge acquisition , they will not be included in our discussion . We ...
... activities , such as domain and problem assessment , and post - mortem activities such as system maintenance . As these problems are tangential to the problem of knowledge acquisition , they will not be included in our discussion . We ...
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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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