Information Algebras - Generic Structures For Inference (Paperback, Softcover reprint of the original 1st ed. 2003)

Information usually comes in pieces, from different sources. It refers to different, but related questions. Therefore information needs to be aggregated and focused onto the relevant questions. Considering combination and focusing of information as the relevant operations leads to a generic algebraic structure for information. This book introduces and studies information from this algebraic point of view. Algebras of information provide the necessary abstract framework for generic inference procedures. They allow the application of these procedures to a large variety of different formalisms for representing information. At the same time they permit a generic study of conditional independence, a property considered as fundamental for knowledge presentation. Information algebras provide a natural framework to define and study uncertain information. Uncertain information is represented by random variables that naturally form information algebras. This theory also relates to probabilistic assumption-based reasoning in information systems and is the basis for the belief functions in the Dempster-Shafer theory of evidence.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Discrete Mathematics and Theoretical Computer Science
Release date:	December 2002
First published:	2003
Authors:	Juerg Kohlas
Dimensions:	235 x 155 x 15mm (L x W x T)
Format:	Paperback
Pages:	265
Edition:	Softcover reprint of the original 1st ed. 2003
ISBN-13:	978-1-85233-689-9
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Science & Mathematics > Mathematics > Algebra > General
LSN:	1-85233-689-7
Barcode:	9781852336899

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