Readings in Uncertain Reasoning
Author: Glenn Shafer
Publisher: Morgan Kaufmann Publishers
Published: 1990
Total Pages: 788
ISBN-13:
DOWNLOAD EBOOK →Computing Methodologies -- Artificial Intelligence.
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Reasoning about Uncertainty, second edition
Author: Joseph Y. Halpern
Publisher: MIT Press
Published: 2017-04-07
Total Pages: 505
ISBN-13: 0262533804
DOWNLOAD EBOOK →Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty. Halpern surveys possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures; considers the updating of beliefs based on changing information and the relation to Bayes' theorem; and discusses qualitative, quantitative, and plausibilistic Bayesian networks. This second edition has been updated to reflect Halpern's recent research. New material includes a consideration of weighted probability measures and how they can be used in decision making; analyses of the Doomsday argument and the Sleeping Beauty problem; modeling games with imperfect recall using the runs-and-systems approach; a discussion of complexity-theoretic considerations; the application of first-order conditional logic to security. Reasoning about Uncertainty is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.
Principles of Knowledge Representation and Reasoning
Author: Bernhard Nebel
Publisher: Morgan Kaufmann Publishers
Published: 1992
Total Pages: 834
ISBN-13:
DOWNLOAD EBOOK →Stringently reviewed papers presented at the October 1992 meeting held in Cambridge, Mass., address such topics as nonmonotonic logic; taxonomic logic; specialized algorithms for temporal, spatial, and numerical reasoning; and knowledge representation issues in planning, diagnosis, and natural langu
Principles of Knowledge Representation and Reasoning
Author: Luigia Carlucci Aiello
Publisher: Morgan Kaufmann
Published: 1996
Total Pages: 696
ISBN-13:
DOWNLOAD EBOOK →Handbook of Defeasible Reasoning and Uncertainty Management Systems
Author: Dov M. Gabbay
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 518
ISBN-13: 9401717370
DOWNLOAD EBOOK →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.
Principles of Knowledge Representation and Reasoning
Author: Jon Doyle
Publisher: Morgan Kaufmann
Published: 1994
Total Pages: 680
ISBN-13:
DOWNLOAD EBOOK →The proceedings of KR '94 comprise 55 papers on topics including deduction an search, description logics, theories of knowledge and belief, nonmonotonic reasoning and belief revision, action and time, planning and decision-making and reasoning about the physical world, and the relations between KR
Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Author: Salem Benferhat
Publisher: Springer
Published: 2003-06-30
Total Pages: 832
ISBN-13: 3540446524
DOWNLOAD EBOOK →This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.
Uncertainty Reasoning for the Semantic Web I
Author: Paulo C. G. Costa
Publisher: Springer Science & Business Media
Published: 2008-12-02
Total Pages: 416
ISBN-13: 354089764X
DOWNLOAD EBOOK →This book constitutes the thoroughly refereed first three workshops on Uncertainty Reasoning for the Semantic Web (URSW), held at the International Semantic Web Conferences (ISWC) in 2005, 2006, and 2007. The 22 papers presented are revised and strongly extended versions of selected workshops papers as well as invited contributions from leading experts in the field and closely related areas. The present volume represents the first comprehensive compilation of state-of-the-art research approaches to uncertainty reasoning in the context of the semantic Web, capturing different models of uncertainty and approaches to deductive as well as inductive reasoning with uncertain formal knowledge.
Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Author: Michael Clarke
Publisher: Springer Science & Business Media
Published: 1993-10-20
Total Pages: 408
ISBN-13: 9783540573951
DOWNLOAD EBOOK →In recent years it has become apparent that an important part of the theory of artificial intelligence is concerned with reasoning on the basis of uncertain, incomplete, or inconsistent information. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.
The Evidential Foundations of Probabilistic Reasoning
Author: David A. Schum
Publisher: Northwestern University Press
Published: 2001
Total Pages: 572
ISBN-13: 9780810118218
DOWNLOAD EBOOK →In this work Schum develops a general theory of evidence as it is understood and applied across a broad range of disciplines and practical undertakings. He include insights from law, philosophy, logic, probability, semiotics, artificial intelligence, psychology and history.
