Probabilistic Logic In A Coherent Setting

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Probabilistic Logic in a Coherent Setting

Author : Giulianella Coletti
Publisher : Springer Science & Business Media
ISBN 13 : 9401004749
Total Pages : 285 pages
Book Rating : 4.4/5 (1 download)

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Book Synopsis Probabilistic Logic in a Coherent Setting by : Giulianella Coletti

Download or read book Probabilistic Logic in a Coherent Setting written by Giulianella Coletti and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: The approach to probability theory followed in this book (which differs radically from the usual one, based on a measure-theoretic framework) characterizes probability as a linear operator rather than as a measure, and is based on the concept of coherence, which can be framed in the most general view of conditional probability. It is a `flexible' and unifying tool suited for handling, e.g., partial probability assessments (not requiring that the set of all possible `outcomes' be endowed with a previously given algebraic structure, such as a Boolean algebra), and conditional independence, in a way that avoids all the inconsistencies related to logical dependence (so that a theory referring to graphical models more general than those usually considered in bayesian networks can be derived). Moreover, it is possible to encompass other approaches to uncertain reasoning, such as fuzziness, possibility functions, and default reasoning. The book is kept self-contained, provided the reader is familiar with the elementary aspects of propositional calculus, linear algebra, and analysis.

Probabilistic Reasoning in Intelligent Systems

Author : Judea Pearl
Publisher : Elsevier
ISBN 13 : 0080514898
Total Pages : 573 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Probabilistic Reasoning in Intelligent Systems by : Judea Pearl

Download or read book Probabilistic Reasoning in Intelligent Systems written by Judea Pearl and published by Elsevier. This book was released on 2014-06-28 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic. The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information. Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.

Column Generation

Author : Guy Desaulniers
Publisher : Springer Science & Business Media
ISBN 13 : 0387254862
Total Pages : 369 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Column Generation by : Guy Desaulniers

Download or read book Column Generation written by Guy Desaulniers and published by Springer Science & Business Media. This book was released on 2006-03-20 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Column Generation is an insightful overview of the state of the art in integer programming column generation and its many applications. The volume begins with "A Primer in Column Generation" which outlines the theory and ideas necessary to solve large-scale practical problems, illustrated with a variety of examples. Other chapters follow this introduction on "Shortest Path Problems with Resource Constraints," "Vehicle Routing Problem with Time Window," "Branch-and-Price Heuristics," "Cutting Stock Problems," each dealing with methodological aspects of the field. Three chapters deal with transportation applications: "Large-scale Models in the Airline Industry," "Robust Inventory Ship Routing by Column Generation," and "Ship Scheduling with Recurring Visits and Visit Separation Requirements." Production is the focus of another three chapters: "Combining Column Generation and Lagrangian Relaxation," "Dantzig-Wolfe Decomposition for Job Shop Scheduling," and "Applying Column Generation to Machine Scheduling." The final chapter by François Vanderbeck, "Implementing Mixed Integer Column Generation," reviews how to set-up the Dantzig-Wolfe reformulation, adapt standard MIP techniques to the column generation context (branching, preprocessing, primal heuristics), and deal with specific column generation issues (initialization, stabilization, column management strategies).

Probabilistic Logic in a Coherent Setting

Author : G. Coletti
Publisher :
ISBN 13 : 9789401004756
Total Pages : 296 pages
Book Rating : 4.0/5 (47 download)

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Book Synopsis Probabilistic Logic in a Coherent Setting by : G. Coletti

Download or read book Probabilistic Logic in a Coherent Setting written by G. Coletti and published by . This book was released on 2011-04-26 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Sébastien Destercke
Publisher : Springer
ISBN 13 : 3319208071
Total Pages : 551 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Sébastien Destercke

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Sébastien Destercke and published by Springer. This book was released on 2015-07-11 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2015, held in Compiègne, France, in July 2015. The 49 revised full papers presented were carefully reviewed and selected from 69 submissions and cover topics on decision theory and preferences; argumentation; conditionals; game theory; belief update; classification; inconsistency; graphical models; Bayesian networks; belief functions; logic; and probabilistic graphical models for scalable data analytics. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.

Scalable Uncertainty Management

Author : Davide Ciucci
Publisher : Springer
ISBN 13 : 3030004619
Total Pages : 421 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Scalable Uncertainty Management by : Davide Ciucci

Download or read book Scalable Uncertainty Management written by Davide Ciucci and published by Springer. This book was released on 2018-09-24 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018. The 23 full, 6 short papers and 2 tutorials presented in this volume were carefully reviewed and selected from 37 submissions. The conference is dedicated to the management of large amounts of complex, uncertain, incomplete, or inconsistent information. New approaches have been developed on imprecise probabilities, fuzzy set theory, rough set theory, ordinal uncertainty representations, or even purely qualitative models.

Logic and Uncertainty in the Human Mind

Author : Shira Elqayam
Publisher : Routledge
ISBN 13 : 135162041X
Total Pages : 271 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Logic and Uncertainty in the Human Mind by : Shira Elqayam

Download or read book Logic and Uncertainty in the Human Mind written by Shira Elqayam and published by Routledge. This book was released on 2020-06-10 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: David E. Over is a leading cognitive scientist and, with his firm grounding in philosophical logic, he also exerts a powerful influence on the psychology of reasoning. He is responsible for not only a large body of empirical work and accompanying theory, but for advancing a major shift in thinking about reasoning, commonly known as the ‘new paradigm’ in the psychology of human reasoning. Over’s signature mix of philosophical logic and experimental psychology has inspired generations of researchers, psychologists, and philosophers alike over more than a quarter of a century. The chapters in this volume, written by a leading group of contributors including a number who helped shape the psychology of reasoning as we know it today, each take their starting point from the key themes of Over’s ground-breaking work. The essays in this collection explore a wide range of central topics—such as rationality, bias, dual processes, and dual systems—as well as contemporary psychological and philosophical theories of conditionals. It concludes with an engaging new chapter, authored by David E. Over himself, which details and analyses the new paradigm psychology of reasoning. This book is therefore important reading for scholars, researchers, and advanced students in psychology, philosophy, and the cognitive sciences, including those who are not familiar with Over’s thought already.

Soft Methods for Data Science

Author : Maria Brigida Ferraro
Publisher : Springer
ISBN 13 : 3319429728
Total Pages : 538 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Soft Methods for Data Science by : Maria Brigida Ferraro

Download or read book Soft Methods for Data Science written by Maria Brigida Ferraro and published by Springer. This book was released on 2016-08-30 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.

Information Processing and Management of Uncertainty

Author : Anne Laurent
Publisher : Springer
ISBN 13 : 3319088521
Total Pages : 585 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Information Processing and Management of Uncertainty by : Anne Laurent

Download or read book Information Processing and Management of Uncertainty written by Anne Laurent and published by Springer. This book was released on 2014-07-17 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: These three volumes (CCIS 442, 443, 444) constitute the proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2014, held in Montpellier, France, July 15-19, 2014. The 180 revised full papers presented together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy measures and integrals; non-classical logics; data analysis; real-world applications; aggregation; probabilistic networks; recommendation systems and social networks; fuzzy systems; fuzzy logic in boolean framework; management of uncertainty in social networks; from different to same, from imitation to analogy; soft computing and sensory analysis; database systems; fuzzy set theory; measurement and sensory information; aggregation; formal methods for vagueness and uncertainty in a many-valued realm; graduality; preferences; uncertainty management in machine learning; philosophy and history of soft computing; soft computing and sensory analysis; similarity analysis; fuzzy logic, formal concept analysis and rough set; intelligent databases and information systems; theory of evidence; aggregation functions; big data - the role of fuzzy methods; imprecise probabilities: from foundations to applications; multinomial logistic regression on Markov chains for crop rotation modelling; intelligent measurement and control for nonlinear systems.

Advances in Artificial Intelligence: From Theory to Practice

Author : Salem Benferhat
Publisher : Springer
ISBN 13 : 3319600451
Total Pages : 485 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Artificial Intelligence: From Theory to Practice by : Salem Benferhat

Download or read book Advances in Artificial Intelligence: From Theory to Practice written by Salem Benferhat and published by Springer. This book was released on 2017-06-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 10350 and 10351 constitutes the thoroughly refereed proceedings of the 30th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, held in Arras, France, in June 2017. The 70 revised full papers presented together with 45 short papers and 3 invited talks were carefully reviewed and selected from 180 submissions. They are organized in topical sections: constraints, planning, and optimization; data mining and machine learning; sensors, signal processing, and data fusion; recommender systems; decision support systems; knowledge representation and reasoning; navigation, control, and autonome agents; sentiment analysis and social media; games, computer vision; and animation; uncertainty management; graphical models: from theory to applications; anomaly detection; agronomy and artificial intelligence; applications of argumentation; intelligent systems in healthcare and mhealth for health outcomes; and innovative applications of textual analysis based on AI.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Salem Benferhat
Publisher : Springer
ISBN 13 : 3540446524
Total Pages : 832 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Salem Benferhat

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Salem Benferhat and published by Springer. This book was released on 2003-06-30 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2001, held in Toulouse, France in September 2001. The 68 revised full papers presented together with three invited papers were carefully reviewed and selected from over a hundred submissions. The book offers topical sections on decision theory, partially observable Markov decision processes, decision-making, coherent probabilities, Bayesian networks, learning causal networks, graphical representation of uncertainty, imprecise probabilities, belief functions, fuzzy sets and rough sets, possibility theory, merging, belief revision and preferences, inconsistency handling, default logic, logic programming, etc.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Jiřina Vejnarová
Publisher : Springer Nature
ISBN 13 : 3030867722
Total Pages : 695 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Jiřina Vejnarová

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Jiřina Vejnarová and published by Springer Nature. This book was released on 2021-09-21 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2021, held in Prague, Czech Republic, in September 2021. The 48 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers are organized in topical sections about argumentation and analogical reasoning, Bayesian networks and graphical models, belief functions, imprecise probability, inconsistency handling and preferences, possibility theory and fuzzy approaches, and probability logic.

Recent Developments and New Directions in Soft Computing

Author : Lotfi A. Zadeh
Publisher : Springer
ISBN 13 : 3319063235
Total Pages : 450 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Recent Developments and New Directions in Soft Computing by : Lotfi A. Zadeh

Download or read book Recent Developments and New Directions in Soft Computing written by Lotfi A. Zadeh and published by Springer. This book was released on 2014-06-17 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data analysis.

Combining, Modelling and Analyzing Imprecision, Randomness and Dependence

Author : Jonathan Ansari
Publisher : Springer Nature
ISBN 13 : 3031659937
Total Pages : 579 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Combining, Modelling and Analyzing Imprecision, Randomness and Dependence by : Jonathan Ansari

Download or read book Combining, Modelling and Analyzing Imprecision, Randomness and Dependence written by Jonathan Ansari and published by Springer Nature. This book was released on with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Symbolic and Quantiative Approaches to Resoning with Uncertainty

Author : Linda C. van der Gaag
Publisher : Springer
ISBN 13 : 3642390919
Total Pages : 546 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Symbolic and Quantiative Approaches to Resoning with Uncertainty by : Linda C. van der Gaag

Download or read book Symbolic and Quantiative Approaches to Resoning with Uncertainty written by Linda C. van der Gaag and published by Springer. This book was released on 2013-07-04 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013, held in Utrecht, The Netherlands, in July 2013. The 44 revised full papers presented were carefully reviewed and selected from 89 submissions. Papers come from researchers interested in advancing the technology and from practitioners using uncertainty techniques in real-world applications. The scope of the ECSQARU conferences encompasses fundamental issues, representation, inference, learning, and decision making in qualitative and numeric uncertainty paradigms.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Author : Gabriele Kern-Isberner
Publisher : Springer Nature
ISBN 13 : 3030297659
Total Pages : 516 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Symbolic and Quantitative Approaches to Reasoning with Uncertainty by : Gabriele Kern-Isberner

Download or read book Symbolic and Quantitative Approaches to Reasoning with Uncertainty written by Gabriele Kern-Isberner and published by Springer Nature. This book was released on 2019-09-04 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Logics in Artificial Intelligence

Author : Jose, Julio Alferes
Publisher : Springer
ISBN 13 : 3540302271
Total Pages : 757 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Logics in Artificial Intelligence by : Jose, Julio Alferes

Download or read book Logics in Artificial Intelligence written by Jose, Julio Alferes and published by Springer. This book was released on 2004-09-10 with total page 757 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th European Conference on Logics in Artificial Intelligence, JELIA 2004, held in Lisbon, Portugal, in September 2004. The 52 revised full papers and 15 revised systems presentation papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from a total of 169 submissions. The papers are organized in topical sections on multi-agent systems; logic programming and nonmonotonic reasoning; reasoning under uncertainty; logic programming; actions and causation; complexity; description logics; belief revision; modal, spatial, and temporal logics; theorem proving; and applications.