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121227s2003 enka o 000 0 eng d |
| 005 |
20260420202349.1 |
| 020 |
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|a 9781447100096 (electronic bk.)
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| 020 |
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|a 1447100093 (electronic bk.)
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| 035 |
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|a (OCoLC)840276841
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|a I9W
|b eng
|e pn
|c I9W
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|a TXAM
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|a Q334-342
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|a 006.3
|2 23
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| 100 |
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|a Kohlas, Jürg.
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| 245 |
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0 |
|a Information Algebras :
|b Generic Structures For Inference /
|c by Jürg Kohlas.
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| 264 |
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1 |
|a London :
|b Springer London :
|b Imprint :
|b Springer,
|c 2003.
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| 300 |
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|a 1 online resource (X, 265 pages 10 illustrations in color.)
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Discrete mathematics and theoretical computer science
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| 505 |
0 |
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|a Introduction -- Valuation Algebras -- Algebraic Theory -- Local Computation -- Conditional Independence -- Information Algebras -- Uncertain Information References.
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| 520 |
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|a 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.
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| 500 |
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|a Electronic resource.
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| 650 |
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|a Computer science.
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|a Artificial intelligence.
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| 650 |
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|a Algebra.
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| 650 |
|
7 |
|a Algebra.
|2 fast
|0 (OCoLC)fst00804885
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| 650 |
|
7 |
|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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| 650 |
|
7 |
|a Computer science.
|2 fast
|0 (OCoLC)fst00872451
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| 655 |
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7 |
|a Electronic books.
|2 local
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 830 |
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|a Discrete mathematics and theoretical computer science.
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| 856 |
4 |
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|u http://proxy.library.tamu.edu/login?url=https://link.springer.com/10.1007/978-1-4471-0009-6
|z Connect to the full text of this electronic book
|t 0
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| 994 |
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|i 1e2ddeec-335a-3ae7-9eb0-c0cb2ee53f73
|t 0
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e Q334-342
|h Library of Congress classification
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| 998 |
f |
f |
|a Q334-342
|t 0
|l Available Online
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