Reasoning About Uncertainty Second Edition

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Reasoning About Uncertainty

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Author : Joseph Y. Halpern
language : en
Publisher: MIT Press
Release Date : 2005-08-12

Reasoning About Uncertainty written by Joseph Y. Halpern and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-08-12 with Computers categories.

Uncertainty is a fundamental and unavoidable feature of daily life; in order to deal with uncertaintly intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty; the material is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics. Halpern begins by surveying possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures. He considers the updating of beliefs based on changing information and the relation to Bayes' theorem; this leads to a discussion of qualitative, quantitative, and plausibilistic Bayesian networks. He considers not only the uncertainty of a single agent but also uncertainty in a multi-agent framework. Halpern then considers the formal logical systems for reasoning about uncertainty. He discusses knowledge and belief; default reasoning and the semantics of default; reasoning about counterfactuals, and combining probability and counterfactuals; belief revision; first-order modal logic; and statistics and beliefs. He includes a series of exercises at the end of each chapter.

Reasoning About Uncertainty Second Edition

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Author : Joseph Y. Halpern
language : en
Publisher: MIT Press
Release Date : 2017-03-31

Reasoning About Uncertainty Second Edition written by Joseph Y. Halpern and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-31 with Computers categories.

Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent it and reason about it. In this book, Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty. Halpern surveys possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures; considers the updating of beliefs based on changing information and the relation to Bayes' theorem; and discusses qualitative, quantitative, and plausibilistic Bayesian networks. This second edition has been updated to reflect Halpern's recent research. New material includes a consideration of weighted probability measures and how they can be used in decision making; analyses of the Doomsday argument and the Sleeping Beauty problem; modeling games with imperfect recall using the runs-and-systems approach; a discussion of complexity-theoretic considerations; the application of first-order conditional logic to security. Reasoning about Uncertainty is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics.

Artificial Intelligence With Uncertainty

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Author : Deyi Li
language : en
Publisher: CRC Press
Release Date : 2017-05-18

Artificial Intelligence With Uncertainty written by Deyi Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-18 with Mathematics categories.

This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.

Uncertainty Theory

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Author : Baoding Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2004

Uncertainty Theory written by Baoding Liu 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 2004 with Business & Economics categories.

"This book provides a self-contained, comprehensive and up-to-date presentation of uncertainty theory. The main purpose is to equip the readers with an axiomatic approach to deal with uncertainty. Mathematicians, researchers, engineers, designers and students in the field of applied mathematics, operations research, statistics, industrial engineering, information science and management science will find this work a useful reference."--BOOK JACKET. Title Summary field provided by Blackwell North America, Inc. All Rights Reserved.

Subjective Logic

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Author : Audun Jøsang
language : en
Publisher: Springer
Release Date : 2016-10-27

Subjective Logic written by Audun Jøsang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-27 with Computers categories.

This is the first comprehensive treatment of subjective logic and all its operations. The author developed the approach, and in this book he first explains subjective opinions, opinion representation, and decision-making under vagueness and uncertainty, and he then offers a full definition of subjective logic, harmonising the key notations and formalisms, concluding with chapters on trust networks and subjective Bayesian networks, which when combined form general subjective networks. The author shows how real-world situations can be realistically modelled with regard to how situations are perceived, with conclusions that more correctly reflect the ignorance and uncertainties that result from partially uncertain input arguments. The book will help researchers and practitioners to advance, improve and apply subjective logic to build powerful artificial reasoning models and tools for solving real-world problems. A good grounding in discrete mathematics is a prerequisite.

Encyclopedia Of Information Science And Technology Second Edition

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Author : Khosrow-Pour, D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2008-10-31

Encyclopedia Of Information Science And Technology Second Edition written by Khosrow-Pour, D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-31 with Business & Economics categories.

"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

A Textbook Of General Practice Second Edition

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Author : Patrick White
language : en
Publisher: CRC Press
Release Date : 2004-04-30

A Textbook Of General Practice Second Edition written by Patrick White and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-30 with Medical categories.

Aimed at medical students and junior doctors, A Textbook of General Practice 2e incorporates the essential information that a student needs to know and understand about general practice and being a general practitioner. The learning style of the book is based on experiential and reflective principles in keeping with modern educative theory and practice. It addresses changes in the curriculum and provides guidance on practical skills, the theory of providing good medicine and the larger considerations of encouraging life long learning and professional development. This is a relatively new approach, in line with the GMCs recommendations and the MRCGP exams. The new edition builds on the successful formula of the first, by thoroughly reviewing and revising all content. Self-assessment sections have been added to all chapters and a glossary of terms is included at the end of the book. Thinking/discussion points have been extended and additional student quotes included.

Modeling Decisions For Artificial Intelligence

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Author : Vicenç Torra
language : en
Publisher: Springer Nature
Release Date : 2022-08-23

Modeling Decisions For Artificial Intelligence written by Vicenç Torra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-23 with Computers categories.

This book constitutes the refereed proceedings of the 19th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2022, held in Sant Cugat, Spain, during August - September 2022. The 16 papers presented in this volume were carefully reviewed and selected from 41 submissions. The papers discuss different facets of decision processes in a broad sense and present research in data science, machine learning, data privacy, aggregation functions, human decision-making, graphs and social networks, and recommendation and search. They were organized in topical sections as follows: Decision making and uncertainty; Data privacy; Machine Learning and data science.

Wildlife Law Second Edition

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Author : Eric T. Freyfogle
language : en
Publisher: Island Press
Release Date : 2019-10-15

Wildlife Law Second Edition written by Eric T. Freyfogle and has been published by Island Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-15 with Law categories.

Wildlife is an important and cherished element of our natural heritage in the United States. But state and federal laws governing the ways we interact with wildlife can be complex to interpret and apply. Ten years ago, Wildlife Law: A Primer was the first book to lucidly explain wildlife law for readers with little or no legal training who needed to understand its intricacies. Today, navigating this legal terrain is trickier than ever as habitat for wildlife shrinks, technology gives us new ways to seek out wildlife, and unwanted human-wildlife interactions occur more frequently, sometimes with alarming and tragic outcomes. This revised and expanded second edition retains key sections from the first edition, describing basic legal concepts while offering important updates that address recent legal topics. New chapters cover timely issues such as private wildlife reserves and game ranches, and the increased prominence of nuisance species as well as an expanded discussion of the Endangered Species Act, now more than 40 years old. Chapter sidebars showcase pertinent legal cases illustrating real-world application of the legal concepts covered in the main text. Accessibly written, this is an essential, groundbreaking reference for professors and students in natural resource and wildlife programs, land owners, and wildlife professionals.

Probabilistic Reasoning In Intelligent Systems

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Author : Judea Pearl
language : en
Publisher: Morgan Kaufmann
Release Date : 1988-09

Probabilistic Reasoning In Intelligent Systems written by Judea Pearl and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988-09 with Computers categories.

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.