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Author: Peter Gärdenfors Publisher: Cambridge University Press ISBN: 9780521545648 Category : Computers Languages : en Pages : 288
Book Description
Belief revision is a topic of much interest in theoretical computer science and logic, and it forms a central problem in research into artificial intelligence. This book contains a collection of research articles on belief revision that are right up to date and an introductory chapter that presents a survey of current research in the area and the fundamentals of the theory.
Author: Peter Gärdenfors Publisher: Cambridge University Press ISBN: 9780521545648 Category : Computers Languages : en Pages : 288
Book Description
Belief revision is a topic of much interest in theoretical computer science and logic, and it forms a central problem in research into artificial intelligence. This book contains a collection of research articles on belief revision that are right up to date and an introductory chapter that presents a survey of current research in the area and the fundamentals of the theory.
Author: Neil Tennant Publisher: Oxford University Press ISBN: 0199655758 Category : Computers Languages : en Pages : 364
Book Description
An account of how a rational agent should revise beliefs in the light of new evidence. Computationally implementable, it provides rigorous mathematical theory of dependency networks and investigates the complexity of algorithms for rational agents revising beliefs.
Author: Erik J Olsson Publisher: Springer Science & Business Media ISBN: 9048196094 Category : Science Languages : en Pages : 376
Book Description
Belief revision theory and philosophy of science both aspire to shed light on the dynamics of knowledge – on how our view of the world changes (typically) in the light of new evidence. Yet these two areas of research have long seemed strangely detached from each other, as witnessed by the small number of cross-references and researchers working in both domains. One may speculate as to what has brought about this surprising, and perhaps unfortunate, state of affairs. One factor may be that while belief revision theory has traditionally been pursued in a bottom- up manner, focusing on the endeavors of single inquirers, philosophers of science, inspired by logical empiricism, have tended to be more interested in science as a multi-agent or agent-independent phenomenon.
Author: International Business Machines Corporation. Research Division Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 19
Book Description
Abstract: "The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper [FH94b] we introduced a new framework to model belief change. This framework combines temporal and epistemic modalities with a notion of plausibility, allowing us to examine the changes of beliefs over time. In this paper we show how belief revision and belief update can be captured in our framework. This allows us to compare the assumptions made by each method and to better understand the principles underlying them. In particular, it allows us to understand the source of Gärdenfors' triviality result for belief revision [Gär86] and suggests a way of mitigating the problem. It also shows that Katsuno and Mendelzon's notion of belief update [KM91a] depends on several strong assumptions that may limit its applicability in AI."
Author: Hans Rott Publisher: Clarendon Press ISBN: 9780198503064 Category : Mathematics Languages : en Pages : 404
Book Description
This work develops logical theories necessary to understand adaptable human reasoning & the design ofintelligent systems. It unifies lively & significant strands of research in logic, philosophy, economics & artificial intelligence.
Author: Dov M. Gabbay Publisher: Springer Science & Business Media ISBN: 9401150540 Category : Mathematics Languages : en Pages : 452
Book Description
Belief change is an emerging field of artificial intelligence and information science dedicated to the dynamics of information and the present book provides a state-of-the-art picture of its formal foundations. It deals with the addition, deletion and combination of pieces of information and, more generally, with the revision, updating and fusion of knowledge bases. The book offers an extensive coverage of, and seeks to reconcile, two traditions in the kinematics of belief that often ignore each other - the symbolic and the numerical (often probabilistic) approaches. Moreover, the work encompasses both revision and fusion problems, even though these two are also commonly investigated by different communities. Finally, the book presents the numerical view of belief change, beyond the probabilistic framework, covering such approaches as possibility theory, belief functions and convex gambles. The work thus presents a unified view of belief change operators, drawing from a widely scattered literature embracing philosophical logic, artificial intelligence, uncertainty modelling and database systems. The material is a clearly organised guide to the literature on the dynamics of epistemic states, knowledge bases and uncertain information, suitable for scholars and graduate students familiar with applied logic, knowledge representation and uncertain reasoning.
Author: M. Williams Publisher: Springer Science & Business Media ISBN: 9401598177 Category : Computers Languages : en Pages : 449
Book Description
Frontiers in Belief Revision is a unique collection of leading edge research in Belief Revision. It contains the latest innovative ideas of highly respected and pioneering experts in the area, including Isaac Levi, Krister Segerberg, Sven Ove Hansson, Didier Dubois, and Henri Prade. The book addresses foundational issues of inductive reasoning and minimal change, generalizations of the standard belief revision theories, strategies for iterated revisions, probabilistic beliefs, multiagent environments and a variety of data structures and mechanisms for implementations. This book is suitable for students and researchers interested in knowledge representation and in the state of the art of the theory and practice of belief revision.
Author: Eduardo Fermé Publisher: Springer ISBN: 3319605356 Category : Computers Languages : en Pages : 128
Book Description
This book explains how the logic of theory change employs formal models in the investigation of changes in belief states and databases. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in the original framework, iterated change, applications of the model, its connections with other formal frameworks, and criticism of the model.
Author: Fouad Sabry Publisher: One Billion Knowledgeable ISBN: Category : Computers Languages : en Pages : 156
Book Description
What Is Belief Revision The process of altering one's views in order to take into account a new piece of knowledge is referred to as belief revision. Philosophy, database design, and artificial intelligence are all areas of study that are contributing to research on the logical formalization of belief revision for the construction of rational beings. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Belief revision Chapter 2: Axiom Chapter 3: Deductive reasoning Chapter 4: Abductive reasoning Chapter 5: Inductive logic programming Chapter 6: Non-monotonic logic Chapter 7: Description logic Chapter 8: Dempster-Shafer theory Chapter 9: Default logic Chapter 10: Epistemic modal logic (II) Answering the public top questions about belief revision. (III) Real world examples for the usage of belief revision in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of belief revision. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
Author: Peter Gärdenfors
Author: Peter Gärdenfors
Author: Alvaro del Val
Author: Neil Tennant
Author: Erik J Olsson
Author: International Business Machines Corporation. Research Division
Author: Hans Rott
Author: Dov M. Gabbay
Author: M. Williams
Author: Eduardo Fermé
Author: Fouad Sabry