Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Rational Reasoning With Finite Conditional Knowledge Bases
Download Rational Reasoning With Finite Conditional Knowledge Bases full books in PDF, epub, and Kindle. Read online Rational Reasoning With Finite Conditional Knowledge Bases ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Rational Reasoning with Finite Conditional Knowledge Bases by : Christian Eichhorn
Download or read book Rational Reasoning with Finite Conditional Knowledge Bases written by Christian Eichhorn and published by Springer. This book was released on 2018-12-28 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Knowledge Representation and Inductive Reasoning Using Conditional Logic and Sets of Ranking Functions by : S. Kutsch
Download or read book Knowledge Representation and Inductive Reasoning Using Conditional Logic and Sets of Ranking Functions written by S. Kutsch and published by IOS Press. This book was released on 2021-02-09 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Adaptive Logics for Defeasible Reasoning by : Christian Straßer
Download or read book Adaptive Logics for Defeasible Reasoning written by Christian Straßer and published by Springer Science & Business Media. This book was released on 2013-11-29 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Symbolic and Quantitative Approaches to Uncertainty by : Rudolf Kruse
Download or read book Symbolic and Quantitative Approaches to Uncertainty written by Rudolf Kruse and published by Springer Science & Business Media. This book was released on 1991-10 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning by : Ronald J. Brachman
Download or read book Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning written by Ronald J. Brachman and published by Morgan Kaufmann Publishers. This book was released on 1989 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning and Uncertainty by : Michael Clarke
Download or read book Symbolic and Quantitative Approaches to Reasoning and Uncertainty written by Michael Clarke and published by Springer Science & Business Media. This book was released on 1993-10-20 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Reasoning Web by : Cristina Baroglio
Download or read book Reasoning Web written by Cristina Baroglio and published by Springer Science & Business Media. This book was released on 2008-08-25 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Thomas D. Nielsen
Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Thomas D. Nielsen and published by Springer. This book was released on 2004-04-07 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Logics in Artificial Intelligence by : Luis Fariñas del Cerro
Download or read book Logics in Artificial Intelligence written by Luis Fariñas del Cerro and published by Springer. This book was released on 2012-09-07 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Principles of Knowledge Representation and Reasoning by : Luigia Carlucci Aiello
Download or read book Principles of Knowledge Representation and Reasoning written by Luigia Carlucci Aiello and published by Morgan Kaufmann. This book was released on 1996 with total page 696 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Logic for Programming, Artificial Intelligence, and Reasoning by : Ken McMillan
Download or read book Logic for Programming, Artificial Intelligence, and Reasoning written by Ken McMillan and published by Springer. This book was released on 2013-12-05 with total page 806 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th International Conference on Logic for Programming, Artificial Intelligence and Reasoning, LPAR-19, held in December 2013 in Stellenbosch, South Africa. The 44 regular papers and 8 tool descriptions and experimental papers included in this volume were carefully reviewed and selected from 152 submissions. The series of International Conferences on Logic for Programming, Artificial Intelligence and Reasoning (LPAR) is a forum where year after year, some of the most renowned researchers in the areas of logic, automated reasoning, computational logic, programming languages and their applications come to present cutting-edge results, to discuss advances in these fields and to exchange ideas in a scientifically emerging part of the world.
Book Synopsis Principles of Knowledge Representation and Reasoning by : Anthony G. Cohn
Download or read book Principles of Knowledge Representation and Reasoning written by Anthony G. Cohn and published by Morgan Kaufmann. This book was released on 1998 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scalable Uncertainty Management by : Florence Dupin de Saint-Cyr
Download or read book Scalable Uncertainty Management written by Florence Dupin de Saint-Cyr and published by Springer Nature. This book was released on 2022-10-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th International Conference on Scalable Uncertainty Management, SUM 2022, which was held in Paris, France, in October 2022. The 19 full and 4 short papers presented in this volume were carefully reviewed and selected from 25 submissions. Besides that, the book also contains 3 abstracts of invited talks and 2 tutorial papers. The conference aims to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as artificial intelligence and machine learning, databases, information retrieval and data mining, the semantic web and risk analysis. The chapter "Defining and Enforcing Descriptive Accuracy in Explanations: the Case of Probabilistic Classifiers" is licensed under the terms of the Creative Commons Attribution 4.0 International License.
Book Synopsis Principles of Knowledge Representation and Reasoning by : Jon Doyle
Download or read book Principles of Knowledge Representation and Reasoning written by Jon Doyle and published by Morgan Kaufmann. This book was released on 1994 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of KR '94 comprise 55 papers on topics including deduction an search, description logics, theories of knowledge and belief, nonmonotonic reasoning and belief revision, action and time, planning and decision-making and reasoning about the physical world, and the relations between KR
Book Synopsis Theoretical Aspects of Reasoning about Knowledge by : Rohit Parikh
Download or read book Theoretical Aspects of Reasoning about Knowledge written by Rohit Parikh and published by Morgan Kaufmann Publishers. This book was released on 1990 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selected papers presented to the 3rd conference (TARK 1990) Pacific Grove, Calif., March 1990. The 19 papers represent current research from computer science, artificial intelligence, economics, linguistics and philosophy. Four tutorials and an invited talk provide background and points of connectio
Book Synopsis Theoretical Aspects of Reasoning about Knowledge by : Ronald Fagin
Download or read book Theoretical Aspects of Reasoning about Knowledge written by Ronald Fagin and published by Morgan Kaufmann Publishers. This book was released on 1994 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in the area of Theoretical Aspects of Reasoning About Knowledge has increased significantly since the first conference was held in 1986 in the Asilomar Conference Center in Pacific Grove, California. Since then, the conference has become a regular biennial event. The results of scientists in the field of reasoning about knowledge have contributed to research in a variety of areas including artificial intelligence, economics, linguistics, philosophy and theoretical computer science. This volume chronicles the fifth conference, held in 1994, which included presentations by an interdisciplinary collection of leading researchers in the field. The 23 extended abstracts published here include 21 contributed papers and 2 invited papers, and represent state-of-the-art research. This volume is a valuable reference to the active interdisciplinary field of reasoning about knowledge, suitable for researchers, students and teachers.
Book Synopsis Conditional and Preferential Logics by : Gian Luca Pozzato
Download or read book Conditional and Preferential Logics written by Gian Luca Pozzato and published by IOS Press. This book was released on 2010 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revised and updated version of the author's Ph.D. dissertation, University of Torino.
