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Author: Torsten Schaub
Publisher: Springer Science & Business Media
ISBN: 9783540645153
Category : Computers
Languages : en
Pages : 180
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Book Description
Reasoning with incomplete information constitutes a major challenge for any intelligent system. In fact, we expect such systems not to become paralyzed by missing information but rather to arrive at plausible results by bridging the gaps in the information available. A versatile way of reasoning in the absence of information is to reason by default. This book aims at providing formal and practical means for automating reasoning with incomplete information by starting from the approach taken by the framework of default logic. For this endeavor, a bridge is spanned between formal semantics, over systems for default reasoning, to efficient implementation.
Author: Torsten Schaub
Publisher: Springer Science & Business Media
ISBN: 9783540645153
Category : Computers
Languages : en
Pages : 180
Get Book
Book Description
Reasoning with incomplete information constitutes a major challenge for any intelligent system. In fact, we expect such systems not to become paralyzed by missing information but rather to arrive at plausible results by bridging the gaps in the information available. A versatile way of reasoning in the absence of information is to reason by default. This book aims at providing formal and practical means for automating reasoning with incomplete information by starting from the approach taken by the framework of default logic. For this endeavor, a bridge is spanned between formal semantics, over systems for default reasoning, to efficient implementation.
Author: Torsten Schaub
Publisher:
ISBN: 9783662173008
Category :
Languages : en
Pages : 180
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Book Description
Author: David W. Etherington
Publisher: Pitman Publishing
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 254
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Book Description
Author: Léa Sombé
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 168
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Book Description
The formalization of ``revisable reasoning'' has been the object of numerous works, developed independently and using many diverse approaches--approaches that are purely symbolic, use numbers to quantify uncertainty, are close to formal logic or less formalized; some deal with exceptions, and a smaller number consider the problem of knowledge bases of revision. This work presents and compares several of these revisable (incomplete) reasoning methods for use in AI. Each method is systematically evaluated with a single example to give the reader an appreciation of the rationale and use of each formulation. The logics considered include: default logic, non-monotonic modal logics, the supposition-based logic, the conditional logics, and the logics of uncertainty. The book also discusses the contribution of works on truth maintenance and logic of action.
Author: John Harrison
Publisher: Cambridge University Press
ISBN: 0521899575
Category : Computers
Languages : en
Pages : 703
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Book Description
A one-stop reference, self-contained, with theoretical topics presented in conjunction with implementations for which code is supplied.
Author: Alan J.A. Robinson
Publisher: Elsevier
ISBN: 9780444508126
Category : Computers
Languages : en
Pages : 1198
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Book Description
Handbook of Automated Reasoning.
Author: Robert Veroff
Publisher: MIT Press
ISBN: 9780262220552
Category : Computers
Languages : en
Pages : 276
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Book Description
The contributors are among the world's leading researchers inautomated reasoning. Their essays cover the theory, software system design, and use of these systems to solve real problems. The primary objective of automated reasoning (which includes automated deduction and automated theorem proving) is to develop computer programs that use logical reasoning for the solution of a wide variety of problems, including open questions. The essays in Automated Reasoning and Its Applications were written in honor of Larry Wos, one of the founders of the field. Wos played a central role in forming the culture of automated reasoning at Argonne National Laboratory. He and his colleagues consistently seek to build systems that search huge spaces for solutions to difficult problems and proofs of significant theorems. They have had numerous notable successes. The contributors are among the world's leading researchers in automated reasoning. Their essays cover the theory, software system design, and use of these systems to solve real problems. Contributors Robert S. Boyer, Shang-Ching Chou, Xiao-Shan Gao, Lawrence Henschen, Deepak Kapur, Kenneth Kunen, Ewing Lusk, William McCune, J Strother Moore, Ross Overbeek, Lawrence C. Paulson, Hantao Zhang, Jing-Zhong Zhang
Author: Jörg H. Siekmann
Publisher:
ISBN:
Category : Automatic theorem proving
Languages : en
Pages : 552
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Book Description
Author: Anthony Hunter
Publisher: Springer
ISBN: 3540487476
Category : Computers
Languages : en
Pages : 407
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Book Description
This book constitutes the refereed proceedings of the 1999 European Conference on Symbolic and Quantitative Approaches to Reasoning under Uncertainty, ECSQARU'99, held in London, UK, in July 1999. The 35 revised full papers presented were carefully reviewed and selected for inclusion in the book by the program committee. The volume covers theoretical as well as application-oriented aspects of various formalisms for reasoning under uncertainty. Among the issues addressed are default reasoning, nonmonotonic reasoning, fuzzy logic, Bayesian theory, probabilistic reasoning, inductive learning, rough knowledge discovery, Dempster-Shafer theory, qualitative decision making, belief functions, and evidence theory.
Author: David Page
Publisher: Springer Science & Business Media
ISBN: 9783540647386
Category : Computers
Languages : en
Pages : 316
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Book Description
This book constitutes the refereed proceedings of the 8th International Conference on Inductive Logic Programming, ILP-98, held in Madison, Wisconsin, USA, in July 1998. The 27 revised full papers presented together with the abstracts of three invited talks were carefully reviewed and selected for inclusion in the book. All relevant aspects of inductive logic programming are covered ranging from theory to implementations and applications.
