000 03697nam a2200541 i 4500
001 6267507
003 IEEE
005 20220712204725.0
006 m o d
007 cr |n|||||||||
008 151223s1992 maua ob 001 eng d
010 _z 91005050 (print)
020 _a9780262291057
_qelectronic
020 _z0262521687
_qprint
035 _a(CaBNVSL)mat06267507
035 _a(IDAMS)0b000064818b4529
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
050 4 _aQ387
_b.K56 1992eb
082 0 0 _a003/.54
_220
245 0 0 _aKnowledge representation /
_cedited by Ronald J. Brachman, Hector J. Levesque, and Raymond Reiter.
250 _a1st MIT Press ed.
264 1 _aCambridge, Massachusetts :
_bMIT Press,
_c1992.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[1992]
300 _a1 PDF (408 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aSpecial issues of Artificial intelligence, an international journal
500 _a"A Bradford book."
500 _a"Reprinted from Artificial intelligence, an international journal, volume 49, numbers 1-3, 1991"--T.p. verso.
504 _aIncludes bibliographical references and indexes.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _aGrowing interest in symbolic representation and reasoning has pushed this backstage activity into the spotlight as a clearly identifiable and technically rich subfield in artificial intelligence. This collection of extended versions of 12 papers from the First International Conference on Principles of Knowledge Representation and Reasoning provides a snapshot of the best current work in AI on formal methods and principles of representation and reasoning. The topics range from temporal reasoning to default reasoning to representations for natural language.Ronald J. Brachman is Head of the Artificial Intelligence Principles Research Department at AT&T Bell Laboratories. Hector J. Levesque and Raymond Reiter are Professors of Computer Science at the University of Toronto.Contents: Introduction. Nonmonotonic Reasoning in the Framework of Situation Calculus. The Computational Complexity of Abduction. Temporal Constraint Networks. Impediments to Universal Preference-Based Default Theories. Embedding Decision-Analytic Control in a Learning Architecture. The Substitutional Framework for Sorted Deduction: Fundamental Results on Hybrid Reasoning. Existence Assumptions in Knowledge Representation. Hard Problems for Simple Default Logics. The Effect of Knowledge on Belief: Conditioning, Specificity and the Lottery Paradox in Default Reasoning. Three-Valued Nonmonotonic Formalisms and Semantics of Logic Programs. On the Applicability of Nonmonotonic Logic to Formal Reasoning in Continuous Time. Principles of Metareasoning.
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/23/2015.
650 0 _aKnowledge representation (Information theory)
_922651
655 0 _aElectronic books.
_93294
700 1 _aBrachman, Ronald J.,
_d1949-
_923175
700 1 _aLevesque, Hector J.,
_d1951-
_922650
700 1 _aReiter, Ray.
_923176
710 2 _aIEEE Xplore (Online Service),
_edistributor.
_923177
710 2 _aMIT Press,
_epublisher.
_923178
776 0 8 _iPrint version
_z0262521687
830 0 _aSpecial issues of Artificial intelligence, an international journal
_923179
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267507
942 _cEBK
999 _c73161
_d73161