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Titlebook: Management of Knowledge Imperfection in Building Intelligent Systems; Eugene Roventa,Tiberiu Spircu Book 2009 Springer-Verlag Berlin Heide

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https://doi.org/10.1007/978-3-540-77463-1Approximate Reasoning; Building Intelligent Systems; Bézier Curves; Knowledge Imperfection; STATISTICA; U
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,“Classical” Expert Systems, enough knowledge in a certain field, who acquired in the past a practical experience in that field and can give now pertinent advices in it. The experts are able to give definitions and/or concepts and also to express their knowledge in terms of rules.
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Statistical Inference,e people try to detect what causes it, and put forward hypotheses that seem plausible. By observing further occurrences, some hypotheses are enhanced, some others diminished or even rejected, i.e. the plausibility of each explanatory hypothesis is re-evaluated.
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Management of Knowledge Imperfection in Building Intelligent Systems978-3-540-77463-1Series ISSN 1434-9922 Series E-ISSN 1860-0808
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Eugene Roventa,Tiberiu SpircuFirst book treating the knowledge imperfection in building intelligent systems.Includes a lot of examples and Visual Prolog programs
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Management of Knowledge Imperfection in Building Intelligent Systems
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