Bayesian Epistemology

Bayesian Epistemology
Author: Luc Bovens
Publisher: OUP Oxford
Total Pages: 170
Release: 2004-01-08
Genre: Philosophy
ISBN: 0191533521

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.


Bayesian Philosophy of Science

Bayesian Philosophy of Science
Author: Jan Sprenger
Publisher: Oxford University Press
Total Pages: 384
Release: 2019-08-23
Genre: Philosophy
ISBN: 0191652229

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.


Introduction to Philosophy

Introduction to Philosophy
Author: Guy Axtell
Publisher:
Total Pages: 196
Release: 2022-01-26
Genre:
ISBN: 9781989014264

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.


In Defence of Objective Bayesianism

In Defence of Objective Bayesianism
Author: Jon Williamson
Publisher: Oxford University Press
Total Pages: 192
Release: 2010-05-13
Genre: Computers
ISBN: 0199228000

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.


Accuracy and the Laws of Credence

Accuracy and the Laws of Credence
Author: Richard Pettigrew
Publisher: Oxford University Press
Total Pages: 251
Release: 2016
Genre: Mathematics
ISBN: 0198732716

Richard Pettigrew offers an extended investigation into a particular way of justifying the rational principles that govern our credences (or degrees of belief). The main principles that he justifies are the central tenets of Bayesian epistemology, though many other related principles are discussed along the way. These are: Probabilism, the claims that credences should obey the laws of probability; the Principal Principle, which says how credences in hypotheses about the objective chances should relate to credences in other propositions; the Principle of Indifference, which says that, in the absence of evidence, we should distribute our credences equally over all possibilities we entertain; and Conditionalization, the Bayesian account of how we should plan to respond when we receive new evidence. Ultimately, then, this book is a study in the foundations of Bayesianism. To justify these principles, Pettigrew looks to decision theory. He treats an agent's credences as if they were a choice she makes between different options, gives an account of the purely epistemic utility enjoyed by different sets of credences, and then appeals to the principles of decision theory to show that, when epistemic utility is measured in this way, the credences that violate the principles listed above are ruled out as irrational. The account of epistemic utility set out here is the veritist's: the sole fundamental source of epistemic utility for credences is their accuracy. Thus, Pettigrew conducts an investigation in the version of epistemic utility theory known as accuracy-first epistemology. The book can also be read as an extended reply on behalf of the veritist to the evidentialist's objection that veritism cannot account for certain evidential principles of credal rationality, such as the Principal Principle, the Principle of Indifference, and Conditionalization.


Fundamentals of Bayesian Epistemology 2

Fundamentals of Bayesian Epistemology 2
Author: Michael G. Titelbaum
Publisher: Oxford University Press
Total Pages: 416
Release: 2022
Genre: Bayesian statistical decision theory
ISBN: 0192863142

'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.--


Degrees of Belief

Degrees of Belief
Author: Franz Huber
Publisher: Springer Science & Business Media
Total Pages: 352
Release: 2008-12-21
Genre: Philosophy
ISBN: 1402091982

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.


Decision Theory as Philosophy

Decision Theory as Philosophy
Author: Mark Kaplan
Publisher: Cambridge University Press
Total Pages: 250
Release: 1996
Genre: Philosophy
ISBN: 9780521624961

Kaplan presents an accessible new variant on Bayesian decision theory.


Quitting Certainties

Quitting Certainties
Author: Michael G. Titelbaum
Publisher: Oxford University Press
Total Pages: 362
Release: 2013
Genre: Mathematics
ISBN: 0199658307

This book presents a new Bayesian framework for modeling rational degrees of belief, called the Certainty-Loss Framework.