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Justification Logic

Justification Logic
Author: Sergei Artemov
Publisher: Cambridge University Press
Total Pages: 271
Release: 2019-05-02
Genre: Mathematics
ISBN: 1108424910

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Develops a new logic paradigm which emphasizes evidence tracking, including theory, connections to other fields, and sample applications.


Probabilistic Extensions of Various Logical Systems

Probabilistic Extensions of Various Logical Systems
Author: Zoran Ognjanović
Publisher: Springer Nature
Total Pages: 238
Release: 2020-07-17
Genre: Computers
ISBN: 3030529541

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The contributions in this book survey results on combinations of probabilistic and various other classical, temporal and justification logical systems. Formal languages of these logics are extended with probabilistic operators. The aim is to provide a systematic overview and an accessible presentation of mathematical techniques used to obtain results on formalization, completeness, compactness and decidability. The book will be of value to researchers in logic and it can be used as a supplementary text in graduate courses on non-classical logics.


Logic, Rationality, and Interaction

Logic, Rationality, and Interaction
Author: Alexandru Baltag
Publisher: Springer
Total Pages: 694
Release: 2017-09-01
Genre: Mathematics
ISBN: 3662556650

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This LNCS volume is part of FoLLI book serie and contains the papers presented at the 6th International Workshop on Logic, Rationality and Interaction/ (LORI-VI), held in September 2017 in Sapporo, Japan. The focus of the workshop is on following topics: Agency, Argumentation and Agreement, Belief Revision and Belief Merging, Belief Representation, Cooperation, Decision making and Planning, Natural Language, Philosophy and Philosophical Logic, and Strategic Reasoning.


Justification Logic

Justification Logic
Author: Sergei Artemov
Publisher: Cambridge University Press
Total Pages: 272
Release: 2019-05-02
Genre: Mathematics
ISBN: 1108661106

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Classical logic is concerned, loosely, with the behaviour of truths. Epistemic logic similarly is about the behaviour of known or believed truths. Justification logic is a theory of reasoning that enables the tracking of evidence for statements and therefore provides a logical framework for the reliability of assertions. This book, the first in the area, is a systematic account of the subject, progressing from modal logic through to the establishment of an arithmetic interpretation of intuitionistic logic. The presentation is mathematically rigorous but in a style that will appeal to readers from a wide variety of areas to which the theory applies. These include mathematical logic, artificial intelligence, computer science, philosophical logic and epistemology, linguistics, and game theory.


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Author: Gabriele Kern-Isberner
Publisher: Springer Nature
Total Pages: 506
Release: 2019-09-04
Genre: Computers
ISBN: 3030297659

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This book constitutes the refereed proceedings of the 15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019, held in Belgrade, Serbia, in September 2019. The 41 full papers presented together with 3 abstracts of invited talks inn this volume were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections named: Argumentation; Belief Functions; Conditional, Default and Analogical Reasoning; Learning and Decision Making; Precise and Imprecise Probabilities; and Uncertain Reasoning for Applications.


Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Author: Thomas D. Nielsen
Publisher: Springer
Total Pages: 619
Release: 2004-04-07
Genre: Computers
ISBN: 3540450629

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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.


Reasoning with Actual and Potential Contradictions

Reasoning with Actual and Potential Contradictions
Author: Dov M. Gabbay
Publisher: Springer Science & Business Media
Total Pages: 333
Release: 2013-04-17
Genre: Philosophy
ISBN: 9401717397

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We are happy to present the second volume of the Handbook of Defeasible Reasoning and Uncertainty Management Systems. Uncertainty pervades the real world and must therefore be addressed by every system that attempts to represent reality. The representation of un certainty is a major concern of philosophers, logicians, artificial intelligence researchers and computer sciencists, psychologists, statisticians, economists and engineers. The present Handbook volumes provide frontline coverage of this area. This Handbook was produced in the style of previous handbook series like the Handbook of Philosophical Logic, the Handbook of Logic in Computer Science, the Handbook of Logic in Artificial Intelligence and Logic Programming, and can be seen as a companion to them in covering the wide applications of logic and reasoning. We hope it will answer the needs for adequate representations of uncertainty. This Handbook series grew out of the ESPRIT Basic Research Project DRUMS II, where the acronym is made out of the Handbook series title. This project was financially supported by the European Union and regroups 20 major European research teams working in the general domain of uncer tainty. As a fringe benefit of the DRUMS project, the research community was able to create this Handbook series, relying on the DRUMS partici pants as the core of the authors for the Handbook together with external international experts.


Logics in Artificial Intelligence

Logics in Artificial Intelligence
Author: Loizos Michael
Publisher: Springer
Total Pages: 586
Release: 2016-11-02
Genre: Computers
ISBN: 3319487582

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This book constitutes the proceedings of the 15th European Conference on Logics in Artificial Intelligence, JELIA 2016, held in Larnaca, Cyprus, in November 2015. The 32 full papers and 10 short papers included in this volume were carefully reviewed and selected from 88 submissions. The accepted papers span a number of areas within Logics in AI, including: belief revision, answer set programming, argumentation, probabilistic reasoning, handling inconsistencies, temporal logics and planning, description logics, and decidability and complexity results.


Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Symbolic and Quantitative Approaches to Reasoning and Uncertainty
Author: Anthony Hunter
Publisher: Springer Science & Business Media
Total Pages: 407
Release: 1999-06-16
Genre: Computers
ISBN: 354066131X

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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.