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Bayesian Epistemology

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Probability theory is increasingly important to philosophy. Bayesian probabilistic models offer us ways of getting to grips with fundamental problems about information, coherence, reliability, confirmation, and testimony, and thus show how we can justify beliefs and evaluate theories. Bovens and Hartmann provide a systematic guide to the use of probabilistic methods not just in epistemology, but also in philosophy of science, voting theory, jurisprudence, and cognitive psychology.

170 pages, Paperback

First published January 8, 2004

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Luc Bovens

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Profile Image for Alvaro de Menard.
117 reviews123 followers
August 24, 2019
The title implies a book about Bayesian epistemology in general, but this is a highly technical and narrow work, focused on probabilistic modeling of a few specific questions. As the authors put it:

We have not tried to present an overview of current work in Bayesian epistemology. Rather, we have picked some epistemological themes in which probabilistic modelling proves to be fruitful.


It's perfectly fine for what it is though. Not accessible to a general audience.
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