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Rational Reasoning With Finite Conditional Knowledge Bases


Rational Reasoning With Finite Conditional Knowledge Bases
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Rational Reasoning With Finite Conditional Knowledge Bases


Rational Reasoning With Finite Conditional Knowledge Bases
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Author : Christian Eichhorn
language : en
Publisher: Springer
Release Date : 2018-12-28

Rational Reasoning With Finite Conditional Knowledge Bases written by Christian Eichhorn and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-28 with Philosophy categories.


Nonmonotonic reasoning is a discipline of computer science, epistemology, and cognition: It models inferences where classical logic is inadequate in symbolic AI, defines normative models for reasoning with defeasible information in epistemology, and models human reasoning under information change in cognition. Its building blocks are defeasible rules formalised as DeFinetti conditionals. In this thesis, Christian Eichhorn examines qualitative and semi-quantitative inference relations on top said conditionals, using the conditional structure of the knowledge base and Spohn’s Ordinal Conditional Functions, using established properties. Converting network approaches from probabilistics, he shows how to approach the relations with regard to implementation.



Knowledge Representation And Inductive Reasoning Using Conditional Logic And Sets Of Ranking Functions


Knowledge Representation And Inductive Reasoning Using Conditional Logic And Sets Of Ranking Functions
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Author : S. Kutsch
language : en
Publisher: IOS Press
Release Date : 2021-02-09

Knowledge Representation And Inductive Reasoning Using Conditional Logic And Sets Of Ranking Functions written by S. Kutsch and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-09 with Computers categories.


A core problem in Artificial Intelligence is the modeling of human reasoning. Classic-logical approaches are too rigid for this task, as deductive inference yielding logically correct results is not appropriate in situations where conclusions must be drawn based on the incomplete or uncertain knowledge present in virtually all real world scenarios. Since there are no mathematically precise and generally accepted definitions for the notions of plausible or rational, the question of what a knowledge base consisting of uncertain rules entails has long been an issue in the area of knowledge representation and reasoning. Different nonmonotonic logics and various semantic frameworks and axiom systems have been developed to address this question. The main theme of this book, Knowledge Representation and Inductive Reasoning using Conditional Logic and Sets of Ranking Functions, is inductive reasoning from conditional knowledge bases. Using ordinal conditional functions as ranking models for conditional knowledge bases, the author studies inferences induced by individual ranking models as well as by sets of ranking models. He elaborates in detail the interrelationships among the resulting inference relations and shows their formal properties with respect to established inference axioms. Based on the introduction of a novel classification scheme for conditionals, he also addresses the question of how to realize and implement the entailment relations obtained. In this work, “Steven Kutsch convincingly presents his ideas, provides illustrating examples for them, rigorously defines the introduced concepts, formally proves all technical results, and fully implements every newly introduced inference method in an advanced Java library (...). He significantly advances the state of the art in this field.” – Prof. Dr. Christoph Beierle of the FernUniversität in Hagen



Adaptive Logics For Defeasible Reasoning


Adaptive Logics For Defeasible Reasoning
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Author : Christian Straßer
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-29

Adaptive Logics For Defeasible Reasoning written by Christian Straßer 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 2013-11-29 with Philosophy categories.


This book presents adaptive logics as an intuitive and powerful framework for modeling defeasible reasoning. It examines various contexts in which defeasible reasoning is useful and offers a compact introduction into adaptive logics. The author first familiarizes readers with defeasible reasoning, the adaptive logics framework, combinations of adaptive logics, and a range of useful meta-theoretic properties. He then offers a systematic study of adaptive logics based on various applications. The book presents formal models for defeasible reasoning stemming from different contexts, such as default reasoning, argumentation, and normative reasoning. It highlights various meta-theoretic advantages of adaptive logics over other logics or logical frameworks that model defeasible reasoning. In this way the book substantiates the status of adaptive logics as a generic formal framework for defeasible reasoning.



Symbolic And Quantitative Approaches To Uncertainty


Symbolic And Quantitative Approaches To Uncertainty
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Author : Rudolf Kruse
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-10

Symbolic And Quantitative Approaches To Uncertainty written by Rudolf Kruse 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 1991-10 with Computers categories.


A variety of formalisms have been developed to address such aspects of handling imperfect knowledge as uncertainty, vagueness, imprecision, incompleteness, and partial inconsistency. Some of the most familiar approaches in this research field are nonmonotonic logics, modal logics, probability theory (Bayesian and non-Bayesian), belief function theory, and fuzzy sets and possibility theory. ESPRIT Basic Research Action 3085, entitled Defeasible Reasoning and Uncertainty Management Systems (DRUMS), aims to contribute to the elucidation of similarities and differences between these formalisms. It consists of 11 active European research groups. The European Conference on Symbolic and Quantitative Approaches to Uncertainty (ESQAU) provides a forum for these groups to meet and discuss their scientific results. This volume contains 42 contributions accepted for the ESQAU meeting held in October 1991 in Marseille, together with 12 articles presenting the activities of the DRUMS groups and two invited presentations.



Proceedings Of The First International Conference On Principles Of Knowledge Representation And Reasoning


Proceedings Of The First International Conference On Principles Of Knowledge Representation And Reasoning
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Author : Ronald J. Brachman
language : en
Publisher: Morgan Kaufmann Publishers
Release Date : 1989

Proceedings Of The First International Conference On Principles Of Knowledge Representation And Reasoning written by Ronald J. Brachman and has been published by Morgan Kaufmann Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.


Proceedings held May 1989. Topics include temporal logic, hierarchical knowledge bases, default theories, nonmonotonic and analogical reasoning, formal theories of belief revision, and metareasoning. Annotation copyright Book News, Inc. Portland, Or.



Symbolic And Quantitative Approaches To Reasoning And Uncertainty


Symbolic And Quantitative Approaches To Reasoning And Uncertainty
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Author : Michael Clarke
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-10-20

Symbolic And Quantitative Approaches To Reasoning And Uncertainty written by Michael Clarke 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 1993-10-20 with Computers categories.


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.



Reasoning Web


Reasoning Web
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Author : Cristina Baroglio
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-25

Reasoning Web written by Cristina Baroglio 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 2008-08-25 with Computers categories.


This book contains a collection of thoroughly revised tutorial papers based on lectures given by leading researchers at the 4th International Summer School on the Reasoning Web, held in Venice, Italy, in September 2008. The objective of the book is to provide a coherent introduction to semantic web methods and research issues with a particular focus on reasoning. The seven tutorial papers presented provide competent coverage of methods and major application areas such as social networks, semantic multimedia indexing and retrieval, bioinformatics, and semantic web services. They highlight which techniques are already being successfully applied for purposes such as improving the performance of information retrieval algorithms, enabling the interoperation of heterogeneous agents, modelling users profiles and social relations, and standardizing and improving the accuracy of very large and dynamic scientific databases.



Symbolic And Quantitative Approaches To Reasoning With Uncertainty


Symbolic And Quantitative Approaches To Reasoning With Uncertainty
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Author : Thomas D. Nielsen
language : en
Publisher: Springer
Release Date : 2004-04-07

Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Thomas D. Nielsen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-07 with Computers categories.


The refereed proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2003, held in Aalborg, Denmark in July 2003. The 47 revised full papers presented together with 2 invited survey articles were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on foundations of uncertainty concepts, Bayesian networks, algorithms for uncertainty inference, learning, decision graphs, belief functions, fuzzy sets, possibility theory, default reasoning, belief revision and inconsistency handling, logics, and tools.



Logics In Artificial Intelligence


Logics In Artificial Intelligence
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Author : Luis Fariñas del Cerro
language : en
Publisher: Springer
Release Date : 2012-09-07

Logics In Artificial Intelligence written by Luis Fariñas del Cerro and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-07 with Computers categories.


This book constitutes the refereed proceedings of the 13th European Conference on Logics in Artificial Intelligence, held in Toulouse, France, in September 2012. The book includes 3 invited talks, 36 regular papers, and 5 system descriptions, selected from 107 submissions. The papers cover various aspects of theory and methods of logic for artificial intelligence.



Principles Of Knowledge Representation And Reasoning


Principles Of Knowledge Representation And Reasoning
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Author : Luigia Carlucci Aiello
language : en
Publisher: Morgan Kaufmann
Release Date : 1996

Principles Of Knowledge Representation And Reasoning written by Luigia Carlucci Aiello and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.