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Bayesian Epistemology
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Book Synopsis Bayesian Epistemology by : Luc Bovens
Download or read book Bayesian Epistemology written by Luc Bovens and published by OUP Oxford. This book was released on 2004-01-08 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we assess whether the sources are independent, how reliable they are, and how plausible and coherent the information is. Bovens and Hartmann provide a systematic Bayesian account of these features of reasoning. Simple Bayesian Networks allow us to model alternative assumptions about the nature of the information sources. Measurement of the coherence of information is a controversial matter: arguably, the more coherent a set of information is, the more confident we may be that its content is true, other things being equal. The authors offer a new treatment of coherence which respects this claim and shows its relevance to scientific theory choice. Bovens and Hartmann apply this methodology to a wide range of much discussed issues regarding evidence, testimony, scientific theories, and voting. Bayesian Epistemology is an essential tool for anyone working on probabilistic methods in philosophy, and has broad implications for many other disciplines.
Book Synopsis Bayesian Epistemology by : Luc Bovens
Download or read book Bayesian Epistemology written by Luc Bovens and published by Oxford University Press on Demand. This book was released on 2003 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic models have much to offer to philosophy. We continually receive information from many sources - our senses, witnesses, scientific instruments - and assess whether to believe it. The authors provide a systematic Bayesian account of these features of reasoning.
Book Synopsis Fundamentals of Bayesian Epistemology 1 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 1 written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2022 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Fundamentals of Bayesian Epistemology' provides an accessible introduction to the key concepts and principles of the Bayesian formalism. This volume introduces degrees of belief as a concept in epistemology and the rules for updating degrees of belief derived from Bayesian principles.--
Book Synopsis Fundamentals of Bayesian Epistemology 2 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 2 written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2022 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'Fundamentals of Bayesian Epistemology' provides an accessible introduction to the key concepts and principles of the Bayesian formalism. Volume 2 introduces applications of Bayesianism to confirmation and decision theory, then gives a critical survey of arguments for and challenges to Bayesian epistemology.--
Book Synopsis Bayesian Philosophy of Science by : Jan Sprenger
Download or read book Bayesian Philosophy of Science written by Jan Sprenger and published by Oxford University Press. This book was released on 2019-08-23 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as being characterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in 'objective science', Sprenger and Hartmann explain the value of convincing evidence in terms of a cycle of variations on the theme of representing rational degrees of belief by means of subjective probabilities (and changing them by Bayesian conditionalization). In doing so, they integrate Bayesian inference—the leading theory of rationality in social science—with the practice of 21st century science. Bayesian Philosophy of Science thereby shows how modeling such attitudes improves our understanding of causes, explanations, confirming evidence, and scientific models in general. It combines a scientifically minded and mathematically sophisticated approach with conceptual analysis and attention to methodological problems of modern science, especially in statistical inference, and is therefore a valuable resource for philosophers and scientific practitioners.
Book Synopsis Introduction to Philosophy by : Guy Axtell
Download or read book Introduction to Philosophy written by Guy Axtell and published by . This book was released on 2022-01-26 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Philosophy: Epistemology engages first-time philosophy readers on a guided tour through the core concepts, questions, methods, arguments, and theories of epistemology-the branch of philosophy devoted to the study of knowledge. After a brief overview of the field, the book progresses systematically while placing central ideas and thinkers in historical and contemporary context. The chapters cover the analysis of knowledge, the nature of epistemic justification, rationalism vs. empiricism, skepticism, the value of knowledge, the ethics of belief, Bayesian epistemology, social epistemology, and feminist epistemologies. Along the way, instructors and students will encounter a wealth of additional resources and tools: Chapter learning outcomes Key terms Images of philosophers and related art Useful diagrams and tables Boxes containing excerpts and other supplementary material Questions for reflection Suggestions for further reading A glossary For an undergraduate survey epistemology course, Introduction to Philosophy: Epistemology is ideal when used as a main text paired with primary sources and scholarly articles. For an introductory philosophy course, select book chapters are best used in combination with chapters from other books in the Introduction to Philosophy series: https: //www1.rebus.community/#/project/4ec7ecce-d2b3-4f20-973c-6b6502e7cbb2.
Book Synopsis Fundamentals of Bayesian Epistemology 2 by : Michael G. Titelbaum
Download or read book Fundamentals of Bayesian Epistemology 2 written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2022-04-14 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian ideas have recently been applied across such diverse fields as philosophy, statistics, economics, psychology, artificial intelligence, and legal theory. Fundamentals of Bayesian Epistemology examines epistemologists' use of Bayesian probability mathematics to represent degrees of belief. Michael G. Titelbaum provides an accessible introduction to the key concepts and principles of the Bayesian formalism, enabling the reader both to follow epistemological debates and to see broader implications Volume 1 begins by motivating the use of degrees of belief in epistemology. It then introduces, explains, and applies the five core Bayesian normative rules: Kolmogorov's three probability axioms, the Ratio Formula for conditional degrees of belief, and Conditionalization for updating attitudes over time. Finally, it discusses further normative rules (such as the Principal Principle, or indifference principles) that have been proposed to supplement or replace the core five. Volume 2 gives arguments for the five core rules introduced in Volume 1, then considers challenges to Bayesian epistemology. It begins by detailing Bayesianism's successful applications to confirmation and decision theory. Then it describes three types of arguments for Bayesian rules, based on representation theorems, Dutch Books, and accuracy measures. Finally, it takes on objections to the Bayesian approach and alternative formalisms, including the statistical approaches of frequentism and likelihoodism.
Book Synopsis In Defence of Objective Bayesianism by : Jon Williamson
Download or read book In Defence of Objective Bayesianism written by Jon Williamson and published by Oxford University Press. This book was released on 2010-05-13 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.
Book Synopsis A Companion to Epistemology by : Jonathan Dancy
Download or read book A Companion to Epistemology written by Jonathan Dancy and published by John Wiley & Sons. This book was released on 2009-12-15 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: With nearly 300 entries on key concepts, review essays on central issues, and self-profiles by leading scholars, this companion is the most comprehensive and up-to-date single volume reference guide to epistemology. Epistemology from A-Z is comprised of 296 articles on important epistemological concepts that have been extensively revised to bring the volume up-to-date, with many new and re-written entries reflecting developments in the field Includes 20 new self-profiles by leading epistemologists Contains 10 new review essays on central issues of epistemology
Book Synopsis Bayesianism and Scientific Reasoning by : Jonah N. Schupbach
Download or read book Bayesianism and Scientific Reasoning written by Jonah N. Schupbach and published by Cambridge University Press. This book was released on 2022-01-31 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This Element explores the Bayesian approach to the logic and epistemology of scientific reasoning. Section 1 introduces the probability calculus as an appealing generalization of classical logic for uncertain reasoning. Section 2 explores some of the vast terrain of Bayesian epistemology. Three epistemological postulates suggested by Thomas Bayes in his seminal work guide the exploration. This section discusses modern developments and defenses of these postulates as well as some important criticisms and complications that lie in wait for the Bayesian epistemologist. Section 3 applies the formal tools and principles of the first two sections to a handful of topics in the epistemology of scientific reasoning: confirmation, explanatory reasoning, evidential diversity and robustness analysis, hypothesis competition, and Ockham's Razor.
Book Synopsis Bayesian Epistemology by : Luc Bovens
Download or read book Bayesian Epistemology written by Luc Bovens and published by . This book was released on 2003 with total page 159 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quitting Certainties by : Michael G. Titelbaum
Download or read book Quitting Certainties written by Michael G. Titelbaum and published by Oxford University Press. This book was released on 2013 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new Bayesian framework for modeling rational degrees of belief, called the Certainty-Loss Framework.
Download or read book Bayesian Epistemology written by and published by . This book was released on 2007 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Degrees of Belief written by Franz Huber and published by Springer Science & Business Media. This book was released on 2008-12-21 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This anthology is the first book to give a balanced overview of the competing theories of degrees of belief. It also explicitly relates these debates to more traditional concerns of the philosophy of language and mind and epistemic logic.
Book Synopsis Formal Epistemology and Cartesian Skepticism by : Tomoji Shogenji
Download or read book Formal Epistemology and Cartesian Skepticism written by Tomoji Shogenji and published by Routledge. This book was released on 2017-11-15 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops new techniques in formal epistemology and applies them to the challenge of Cartesian skepticism. It introduces two formats of epistemic evaluation that should be of interest to epistemologists and philosophers of science: the dual-component format, which evaluates a statement on the basis of its safety and informativeness, and the relative-divergence format, which evaluates a probabilistic model on the basis of its complexity and goodness of fit with data. Tomoji Shogenji shows that the former lends support to Cartesian skepticism, but the latter allows us to defeat Cartesian skepticism. Along the way, Shogenji addresses a number of related issues in epistemology and philosophy of science, including epistemic circularity, epistemic closure, and inductive skepticism.
Book Synopsis Bayesian Core: A Practical Approach to Computational Bayesian Statistics by : Jean-Michel Marin
Download or read book Bayesian Core: A Practical Approach to Computational Bayesian Statistics written by Jean-Michel Marin and published by Springer Science & Business Media. This book was released on 2007-05-26 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Bayesian modeling book is intended for practitioners and applied statisticians looking for a self-contained entry to computational Bayesian statistics. Focusing on standard statistical models and backed up by discussed real datasets available from the book website, it provides an operational methodology for conducting Bayesian inference, rather than focusing on its theoretical justifications. Special attention is paid to the derivation of prior distributions in each case and specific reference solutions are given for each of the models. Similarly, computational details are worked out to lead the reader towards an effective programming of the methods given in the book.
Book Synopsis Bayesian Programming by : Pierre Bessiere
Download or read book Bayesian Programming written by Pierre Bessiere and published by CRC Press. This book was released on 2013-12-20 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in natur
