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Uncertainty and Information: Foundations of Generalized Information Theory  {Repost}
Uncertainty and Information: Foundations of Generalized Information Theory {Repost}
Date: 12 November 2010, 06:25

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Uncertainty and Information: Foundations of Generalized Information Theory
Publisher: Wiley-IEEE Press | ISBN: 0471748676 | edition 2005 | PDF | 518 pages | 10,4 mb

Deal with information and uncertainty properly and efficiently using tools emerging from generalized information theory
Uncertainty and Information: Foundations of Generalized Information Theory contains comprehensive and up-to-date coverage of results that have emerged from a research program begun by the author in the early 1990s under the name "generalized information theory" (GIT). This ongoing research program aims to develop a formal mathematical treatment of the interrelated concepts of uncertainty and information in all their varieties. In GIT, as in classical information theory, uncertainty (predictive, retrodictive, diagnostic, prescriptive, and the like) is viewed as a manifestation of information deficiency, while information is viewed as anything capable of reducing the uncertainty.





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