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LEADER: 05775cam 2200937Ia 4500
001 ocm54038396
003 OCoLC
005 20200618234807.0
008 040116s2001 maua ob 001 0 eng d
006 m o d
007 cr cnu---unuuu
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037 $a5716$bMIT Press
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082 04 $a006.3/3$222
100 1 $aParsons, Simon.
245 10 $aQualitative methods for reasoning under uncertainty /$cSimon Parsons.
260 $aCambridge, Mass. :$bMIT Press,$c©2001.
264 4 $c©2001
300 $a1 online resource (xviii, 506 pages) :$billustrations.
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aArtificial Intelligence Ser.
504 $aIncludes bibliographical references (pages 457-497) and index.
588 0 $aPrint version record.
546 $aEnglish.
520 $aIn this book Simon Parsons describes qualitative methods for reasoning under uncertainty, "uncertainty" being a catch-all term for various types of imperfect information. The advantage of qualitative methods is that they do not require precise numerical information. Instead, they work with abstractions such as interval values and information about how values change. The author does not invent completely new methods for reasoning under uncertainty but provides the means to create qualitative versions of existing methods. To illustrate this, he develops qualitative versions of probability theory, possibility theory, and the Dempster-Shafer theory of evidence. According to Parsons, these theories are best considered complementary rather than exclusive. Thus the book supports the contention that rather than search for the one best method to handle all imperfect information, one should use whichever method best fits the problem. This approach leads naturally to the use of several different methods in the solution of a single problem and to the complexity of integrating the results--a problem to which qualitative methods provide a solution.
650 0 $aQualitative reasoning.
650 0 $aUncertainty (Information theory)
650 7 $aCOMPUTERS$xExpert Systems.$2bisacsh
650 7 $aQualitative reasoning.$2fast$0(OCoLC)fst01084939
650 7 $aUncertainty (Information theory)$2fast$0(OCoLC)fst01160838
650 7 $aComputer Science.$2hilcc
650 7 $aEngineering & Applied Sciences.$2hilcc
653 $aCOMPUTER SCIENCE/Artificial Intelligence
655 0 $aElectronic books.
655 4 $aElectronic books.
655 4 $aOnline resources.
776 08 $iPrint version:$aParsons, Simon.$tQualitative methods for reasoning under uncertainty.$dCambridge, Mass. : MIT Press, ©2001$z0262161680$w(DLC) 2001030492$w(OCoLC)46401903
830 0 $aArtificial Intelligence Ser.
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856 40 $3IEEE Xplore$uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267317
856 40 $3MIT Press$uhttp://cognet.mit.edu/library/books/view?isbn=0262161680
856 40 $3MIT Press$uhttp://cognet.mit.edu/book/qualitative-methods-reasoning-under-uncertainty
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856 40 $3MIT Press$uhttp://proxy.library.carleton.ca/login?url=http://cognet.mit.edu/book/qualitative-methods-reasoning-under-uncertainty
856 40 $3MIT Press$uhttp://mitpress.mit.edu/9780262161688
856 40 $3MIT Press$uhttps://doi.org/10.7551/mitpress/5716.001.0001
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856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/fy031/2001030492.html
856 40 $uhttp://www.library.yorku.ca/e/resolver/id/2787468
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856 42 $3Abstract with links to resource$uhttps://ezproxy.aub.edu.lb/login?url=http://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267317$zClick for access to e-book
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