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

Favorable

https://doi.org/10.1007/978-3-540-77463-1Approximate Reasoning; Building Intelligent Systems; Bézier Curves; Knowledge Imperfection; STATISTICA; U

EXTOL

,“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.

LANCE

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.

receptors

我說不重要

AGATE

Management of Knowledge Imperfection in Building Intelligent Systems978-3-540-77463-1Series ISSN 1434-9922 Series E-ISSN 1860-0808

火車車輪

Eugene Roventa,Tiberiu SpircuFirst book treating the knowledge imperfection in building intelligent systems.Includes a lot of examples and Visual Prolog programs

WATER

Recessive

領(lǐng)帶

Management of Knowledge Imperfection in Building Intelligent Systems