Handbook Of Defeasible Reasoning And Uncertainty Management Systems
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Handbook Of Defeasible Reasoning And Uncertainty Management Systems
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Author : Dov M. Gabbay
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-12-31
Handbook Of Defeasible Reasoning And Uncertainty Management Systems written by Dov M. Gabbay and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-12-31 with Computers categories.
The Handbook of Defeasible Reasoning and Uncertainty Management Systems is unique in its masterly survey of the computational and algorithmic problems of systems of applied reasoning. The various theoretical and modelling aspects of defeasible reasoning were dealt with in the first four volumes, and Volume 5 now turns to the algorithmic aspect. Topics covered include: Computation in valuation algebras; consequence finding algorithms; possibilistic logic; probabilistic argumentation systems, networks and satisfiability; algorithms for imprecise probabilities, for Dempster-Shafer, and network based decisions.
Handbook Of Defeasible Reasoning And Uncertainty Management Systems
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Author : Dov M. Gabbay
language : en
Publisher:
Release Date : 2014-01-15
Handbook Of Defeasible Reasoning And Uncertainty Management Systems written by Dov M. Gabbay and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Handbook Of Defeasible Reasoning And Uncertainty Management Systems Abductive Reasoning And Uncertainty Management Systems Edited By Dov M Gabbay And Rudolf Kruse
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Author :
language : en
Publisher:
Release Date : 1998
Handbook Of Defeasible Reasoning And Uncertainty Management Systems Abductive Reasoning And Uncertainty Management Systems Edited By Dov M Gabbay And Rudolf Kruse written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Belief and doubt categories.
Handbook Of Defeasible Reasoning And Uncertainty Management Systems
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Author :
language : en
Publisher:
Release Date : 2002
Handbook Of Defeasible Reasoning And Uncertainty Management Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Uncertainty (Information theory) categories.
Handbook Of Defeasible Reasoning And Uncertainty Management Systems Dynamics And Management Of Reasoning Processes Edited By J J Ch Meyer And J Treur
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Author :
language : en
Publisher:
Release Date : 1998
Handbook Of Defeasible Reasoning And Uncertainty Management Systems Dynamics And Management Of Reasoning Processes Edited By J J Ch Meyer And J Treur written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Belief and doubt categories.
Handbook Of Defeasible Reasoning And Uncertainty Management Systems Algorithms For Uncertainty And Defeasible Reasoning Edited By J Rg Kohlas And Seraf N Moral
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Author :
language : en
Publisher:
Release Date : 1998
Handbook Of Defeasible Reasoning And Uncertainty Management Systems Algorithms For Uncertainty And Defeasible Reasoning Edited By J Rg Kohlas And Seraf N Moral written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Belief and doubt categories.
Information Algebras
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Author : Juerg Kohlas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Information Algebras written by Juerg Kohlas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.
Information usually comes in pieces, from different sources. It refers to different, but related questions. Therefore information needs to be aggregated and focused onto the relevant questions. Considering combination and focusing of information as the relevant operations leads to a generic algebraic structure for information. This book introduces and studies information from this algebraic point of view. Algebras of information provide the necessary abstract framework for generic inference procedures. They allow the application of these procedures to a large variety of different formalisms for representing information. At the same time they permit a generic study of conditional independence, a property considered as fundamental for knowledge presentation. Information algebras provide a natural framework to define and study uncertain information. Uncertain information is represented by random variables that naturally form information algebras. This theory also relates to probabilistic assumption-based reasoning in information systems and is the basis for the belief functions in the Dempster-Shafer theory of evidence.
Logics In Artificial Intelligence
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Author : Steffen Hölldobler
language : en
Publisher: Springer
Release Date : 2008-09-25
Logics In Artificial Intelligence written by Steffen Hölldobler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-25 with Computers categories.
This book constitutes the refereed proceedings of the 11th European Conference on Logics in Artificial Intelligence, JELIA 2008, held in Dresden, Germany, Liverpool, in September/October 2008. The 32 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 98 submissions. The papers cover a broad range of topics including belief revision, description logics, non-monotonic reasoning, multi-agent systems, probabilistic logic, and temporal logic.
Micai 2007 Advances In Artificial Intelligence
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Author : Alexander Gelbukh
language : en
Publisher: Springer
Release Date : 2007-10-24
Micai 2007 Advances In Artificial Intelligence written by Alexander Gelbukh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-24 with Computers categories.
This book constitutes the refereed proceedings of the 6th Mexican International Conference on Artificial Intelligence, MICAI 2007, held in Aguascalientes, Mexico, in November 2007. The 116 revised full papers presented were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in sections on topics that include computational intelligence, neural networks, knowledge representation and reasoning, agents and multiagent systems.
Soft Methods For Integrated Uncertainty Modelling
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Author : Jonathan Lawry
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-08-14
Soft Methods For Integrated Uncertainty Modelling written by Jonathan Lawry and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-14 with Computers categories.
The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statistics and probability theory.