Bayesian Epistemology by Luc Bovens

Bayesian Epistemology

byLuc Bovens, Stephan Hartmann

Paperback | January 8, 2004

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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, howreliable 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, otherthings 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 otherdisciplines.

About The Author

Luc Bovens is in the Department of Philosophy, University of Colorado at Boulder. Stephan Hartmann is at London School of Economics.
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Title:Bayesian EpistemologyFormat:PaperbackDimensions:176 pages, 8.5 × 5.43 × 0.33 inPublished:January 8, 2004Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199270406

ISBN - 13:9780199270408

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Table of Contents

Introduction1. Information2. Coherence3. Reliability4. Confirmation5. TestimonyEpilogueAppendix