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020 _a9789811692949
_9978-981-16-9294-9
024 7 _a10.1007/978-981-16-9294-9
_2doi
050 4 _aQA267-268.5
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a005.131
_223
100 1 _aLi, Wei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aR-Calculus, II: Many-Valued Logics
_h[electronic resource] /
_cby Wei Li, Yuefei Sui.
250 _a1st ed. 2022.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2022.
300 _aXIII, 271 p. 6 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aPerspectives in Formal Induction, Revision and Evolution,
_x2731-3697
505 0 _aIntroduction -- R-Calculus For Propositional Logic -- R-Calculus For L3-Valued Propositional Logic -- R-Calculus For L3-Valued PL,II -- R-Calculus For B22-Valued PL -- R-Calculus For B22-Valued PL,II -- Complementary R-Calculus For PL -- Multisequents and Hypersequents -- Product of Two R-Calculi -- Sum of Two R-Calculi.
520 _aThis second volume of the book series shows R-calculus is a combination of one monotonic tableau proof system and one non-monotonic one. The R-calculus is a Gentzen-type deduction system which is non-monotonic, and is a concrete belief revision operator which is proved to satisfy the AGM postulates and the DP postulates. It discusses the algebraical and logical properties of tableau proof systems and R-calculi in many-valued logics. This book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners in the field of logic. Also it is very useful for all those who are interested in data, digitization and correctness and consistency of information, in modal logics, non monotonic logics, decidable/undecidable logics, logic programming, description logics, default logics and semantic inheritance networks. .
650 0 _aMachine theory.
650 0 _aMathematical logic.
650 0 _aLogic programming.
650 0 _aMathematical models.
650 0 _aBig data.
650 1 4 _aFormal Languages and Automata Theory.
650 2 4 _aMathematical Logic and Foundations.
650 2 4 _aLogic in AI.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aBig Data.
700 1 _aSui, Yuefei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811692932
776 0 8 _iPrinted edition:
_z9789811692956
776 0 8 _iPrinted edition:
_z9789811692963
830 0 _aPerspectives in Formal Induction, Revision and Evolution,
_x2731-3697
856 4 0 _uhttps://doi.org/10.1007/978-981-16-9294-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c179208
_d179208