R-CALCULUS : a logic of belief revision / Wei Li, Yuefei Sui.

This book introduces new models based on R-calculus and theories of belief revision for dealing with large and changing data. It extends R-calculus from first-order logic to propositional logic, description logics, modal logic and logic programming, and from minimal change semantics to subset minima...

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Bibliographic Details
Main Authors: Li, Wei, Sui, Yuefei (Author)
Format: eBook
Language:English
Published: Singapore : Springer, 2021.
Series:Perspectives in formal induction, revision and evolution,
Subjects:
Online Access:Click for online access
Description
Summary:This book introduces new models based on R-calculus and theories of belief revision for dealing with large and changing data. It extends R-calculus from first-order logic to propositional logic, description logics, modal logic and logic programming, and from minimal change semantics to subset minimal change, pseudo-subformula minimal change and deduction-based minimal change (the last two minimal changes are newly defined). And it proves soundness and completeness theorems with respect to the minimal changes in these logics. To make R-calculus computable, an approximate R-calculus is given which uses finite injury priority method in recursion theory. Moreover, two applications of R-calculus are given to default theory and semantic inheritance networks. 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.
Physical Description:1 online resource
Bibliography:Includes bibliographical references and index.
ISBN:9789811629440
9811629447
ISSN:2731-3697
Source of Description, Etc. Note:Online resource; title from PDF title page (SpringerLink, viewed November 15, 2021).