Bayesian Epistemology

In Duncan Pritchard & Sven Bernecker (eds.), The Routledge Companion to Epistemology. London: Routledge. pp. 609-620 (2010)

Authors
Stephan Hartmann
Ludwig Maximilians Universität, München
Jan Sprenger
University of Turin
Abstract
Bayesian epistemology addresses epistemological problems with the help of the mathematical theory of probability. It turns out that the probability calculus is especially suited to represent degrees of belief (credences) and to deal with questions of belief change, confirmation, evidence, justification, and coherence. Compared to the informal discussions in traditional epistemology, Bayesian epis- temology allows for a more precise and fine-grained analysis which takes the gradual aspects of these central epistemological notions into account. Bayesian epistemology therefore complements traditional epistemology; it does not re- place it or aim at replacing it.
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References found in this work BETA

Bayesian Epistemology.Luc Bovens & Stephan Hartmann - 2003 - Oxford: Oxford University Press.
Causation, Prediction, and Search.Peter Spirtes, Clark Glymour & Richard Scheines - 1996 - British Journal for the Philosophy of Science 47 (1):113-123.

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Citations of this work BETA

The No Alternatives Argument.Richard Dawid, Stephan Hartmann & Jan Sprenger - 2015 - British Journal for the Philosophy of Science 66 (1):213-234.
Holistic Conditionalization and Underminable Perceptual Learning.Brian T. Miller - forthcoming - Philosophy and Phenomenological Research.
The Probabilistic No Miracles Argument.Jan Sprenger - 2016 - European Journal for Philosophy of Science 6 (2):173-189.

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