Reasoning About Knowledge

Author: Ronald Fagin
Editor: MIT Press
ISBN: 9780262562003
Size: 17,88 MB
Format: PDF, ePub
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Provides a general discussion of approaches to reasoning about knowledge and its applications to distributed systems, artificial intelligence, and game theory.

Theoretical Aspects Of Reasoning About Knowledge

Author: Joseph Y. Halpern
Editor: Morgan Kaufmann
ISBN: 1483214419
Size: 15,17 MB
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Theoretical Aspects of Reasoning About Knowledge: Proceedings of the 1986 Conference focuses on the principles, methodologies, approaches, and concepts involved in reasoning about knowledge. The selection first provides an overview of reasoning about knowledge, varieties of self-reference, and pegs and alecs. Topics covered include data semantics, partial objects and identity, circumstance, self, and causal connection, structure of circumstance, varieties and limits of self-reference, problem of logical omniscience, and knowledge, communication, and action. The book then explores reasoning about knowledge in artificial intelligence; synthesis of digital machines with provable epistemic properties; and a first order theory of planning, knowledge, and action. The publication ponders on the consistency of syntactical treatments of knowledge, foundations of knowledge for distributed systems, knowledge and implicit knowledge in a distributed environment, and the logic of distributed protocols. Topics include formal syntax and semantics, structure of models, message-based knowledge worlds, changing the class of messages, implicit knowledge in message-based knowledge worlds, conservation and implicit knowledge, and distributed protocols. The selection is a dependable source of data for researchers interested in the theoretical aspects of reasoning about knowledge.

Theoretical Aspects Of Reasoning About Knowledge

Author: Ronald Fagin
Editor: Morgan Kaufmann
ISBN: 1483214532
Size: 14,31 MB
Format: PDF, Kindle
Read: 978
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Theoretical Aspects of Reasoning About Knowledge contains the proceedings of the Fifth Conference on Theoretical Aspects of Reasoning About Knowledge (TARK 1994) held in Pacific Grove, California, on March 13-16, 1994. The conference provided a forum for discussing the theoretical aspects of reasoning about knowledge and tackled topics ranging from the logic of iterated belief revision and backwards forward induction to information acquisition from multi-agent resources, infinitely epistemic logic, and coherent belief revision in games. Comprised of 23 chapters, this book begins with a review of situation calculus and a solution to the frame problem, along with the use of a regression method for reasoning about the effect of actions. A novel programming language for high-level robotic control is described, along with a knowledge-based framework for belief change. Subsequent chapters deal with consistent belief reasoning in the presence of inconsistency; an epistemic logic of situations; an axiomatic approach to the logical omniscience problem; and an epistemic proof system for parallel processes. Inductive learning, knowledge asymmetries, and convention are also examined. This monograph will be of interest to both students and practitioners in the fields of artificial intelligence and computer science.

Fuzzy Sets Logics And Reasoning About Knowledge

Author: Didier Dubois
Editor: Springer Science & Business Media
ISBN: 9401716528
Size: 12,11 MB
Format: PDF, ePub, Mobi
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Fuzzy Sets, Logics and Reasoning about Knowledge reports recent results concerning the genuinely logical aspects of fuzzy sets in relation to algebraic considerations, knowledge representation and commonsense reasoning. It takes a state-of-the-art look at multiple-valued and fuzzy set-based logics, in an artificial intelligence perspective. The papers, all of which are written by leading contributors in their respective fields, are grouped into four sections. The first section presents a panorama of many-valued logics in connection with fuzzy sets. The second explores algebraic foundations, with an emphasis on MV algebras. The third is devoted to approximate reasoning methods and similarity-based reasoning. The fourth explores connections between fuzzy knowledge representation, especially possibilistic logic and prioritized knowledge bases. Readership: Scholars and graduate students in logic, algebra, knowledge representation, and formal aspects of artificial intelligence.

Reasoning About Knowledge

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ISBN:
Size: 20,48 MB
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Theoretical Aspects Of Reasoning About Knowledge

Author: Yoram Ofer Moses
Editor: Morgan Kaufmann Pub
ISBN: 9781558602434
Size: 16,86 MB
Format: PDF, Docs
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Modalities For Reasoning About Knowledge And Quantities

Author: Wiebe van der Hoek
Editor:
ISBN:
Size: 16,66 MB
Format: PDF, Docs
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Theoretical Aspects Of Reasoning About Knowledge

Author: Rohit Parikh
Editor: Morgan Kaufmann Pub
ISBN: 9781558601055
Size: 20,13 MB
Format: PDF, ePub
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Automated Reasoning With Analytic Tableaux And Related Methods

Author: Uwe Egly
Editor: Springer
ISBN: 3540456163
Size: 20,92 MB
Format: PDF, ePub, Docs
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This book constitutes the refereed proceedings of the International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, TABLEAUX 2002, held in Copenhagen, Denmark, in July/August 2002.The 20 revised full papers and two system descriptions presented together with two invited contributions were carefully reviewed and selected for inclusion in the book. All current issues surrounding the mechanization of logical reasoning with tableaux and similar methods are addressed. Among the logic calculi investigated are linear logic, temporal logic, modal logics, hybrid logic, multi-modal logics, fuzzy logics, Goedel logic, Lukasiewicz logic, intermediate logics, quantified boolean logic, and, of course, classical first-order logic.

Reasoning About Uncertainty

Author: Joseph Y. Halpern
Editor: MIT Press
ISBN: 0262263076
Size: 13,96 MB
Format: PDF, ePub
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Uncertainty is a fundamental and unavoidable feature of daily life; in order to deal with uncertaintly 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; the material is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.Halpern begins by surveying possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures. He considers the updating of beliefs based on changing information and the relation to Bayes' theorem; this leads to a discussion of qualitative, quantitative, and plausibilistic Bayesian networks. He considers not only the uncertainty of a single agent but also uncertainty in a multi-agent framework. Halpern then considers the formal logical systems for reasoning about uncertainty. He discusses knowledge and belief; default reasoning and the semantics of default; reasoning about counterfactuals, and combining probability and counterfactuals; belief revision; first-order modal logic; and statistics and beliefs. He includes a series of exercises at the end of each chapter.