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＜電子ブック＞
Handbook of Defeasible Reasoning and Uncertainty Management Systems : Algorithms for Uncertainty and Defeasible Reasoning / edited by Dov M. Gabbay, Philippe Smets
(Handbook of Defeasible Reasoning and Uncertainty Management Systems ; 5)

版	1st ed. 2000.
出版者	(Dordrecht : Springer Netherlands : Imprint: Springer)
出版年	2000
本文言語	英語
大きさ	V, 517 p : online resource
著者標目	Gabbay, Dov M editor Smets, Philippe editor SpringerLink (Online service)
件　名	LCSH:Mathematical logic LCSH:Compilers (Computer programs) LCSH:Computer science LCSH:Logic LCSH:Artificial intelligence FREE:Mathematical Logic and Foundations FREE:Compilers and Interpreters FREE:Theory of Computation FREE:Logic FREE:Artificial Intelligence
一般注記	Volume Introduction -- I: Fundamentals -- Computation in Valuation Algebras -- Consequence Finding Algorithms -- II: Algorithms for Logical Formalisms -- Computing Specificity in Default Reasoning -- Possibilistic Logic: Complexity and Algorithms -- Probabilistic Argumentation Systems -- III: Algorithms for Numerical Formalisms -- Probabilistic Networks -- Probabilistic Satisfiability -- Algorithms for Imprecise Probabilities -- Algorithms for Dempster—Shafer Theory -- Network-based Decision Algorithms Reasoning under uncertainty is always based on a specified language or for­ malism, including its particular syntax and semantics, but also on its associated inference mechanism. In the present volume of the handbook the last aspect, the algorithmic aspects of uncertainty calculi are presented. Theory has suffi­ ciently advanced to unfold some generally applicable fundamental structures and methods. On the other hand, particular features of specific formalisms and ap­ proaches to uncertainty of course still influence strongly the computational meth­ ods to be used. Both general as well as specific methods are included in this volume. Broadly speaking, symbolic or logical approaches to uncertainty and nu­ merical approaches are often distinguished. Although this distinction is somewhat misleading, it is used as a means to structure the present volume. This is even to some degree reflected in the two first chapters, which treat fundamental, general methods of computation in systems designed to represent uncertainty. It has been noted early by Shenoy and Shafer, that computations in different domains have an underlying common structure. Essentially pieces of knowledge or information are to be combined together and then focused on some particular question or domain. This can be captured in an algebraic structure called valuation algebra which is described in the first chapter. Here the basic operations of combination and focus­ ing (marginalization) of knowledge and information is modeled abstractly subject to simple axioms HTTP:URL=https://doi.org/10.1007/978-94-017-1737-3

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