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Information Algebras: Generic Structures for Inference Softcover Repri Edition
Contributor(s): Kohlas, Juerg (Author)
ISBN: 1852336897     ISBN-13: 9781852336899
Publisher: Springer
OUR PRICE:   $123.49  
Product Type: Paperback
Published: December 2002
Qty:
Annotation: 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.
Additional Information
BISAC Categories:
- Gardening
- Computers | Machine Theory
- Computers | Intelligence (ai) & Semantics
Dewey: 004.015
LCCN: 2002044519
Series: Discrete Mathematics and Theoretical Computer Science
Physical Information: 0.59" H x 6.14" W x 9.21" (0.87 lbs) 265 pages