Bayesian Epistemology
In Duncan Pritchard & Sven Bernecker (eds.), Routledge Companion to Epistemology. Routledge (forthcoming)
| 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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Gregory Wheeler (2012). Objective Bayesian Calibration and the Problem of Non-Convex Evidence. British Journal for the Philosophy of Science 63 (4):841-850.
Gregory Wheeler & Jon Williamson (2011). Evidential Probability and Objective Bayesian Epistemology. In Prasanta S. Bandyopadhyay & Malcolm Forster (eds.), Handbook of the Philosophy of Statistics. Elsevier.
Vincenzo Crupi, Roberto Festa & and Tommaso Mastropasqua (2008). Bayesian Confirmation by Uncertain Evidence: A Reply to Huber [2005]. British Journal for the Philosophy of Science 59 (2):201-211.
John Shoemaker (2003). Epistemological Naturalism and Mark Kaplan's Decision Theory. Philo 6 (2):249-262.
Branden Fitelson (2010). Pollock on Probability in Epistemology. Philosophical Studies 148 (3).
Patrick Maher (2010). Bayesian Probability. Synthese 172 (1).
David Christensen (1992). Confirmational Holism and Bayesian Epistemology. Philosophy of Science 59 (4):540-557.
Alan Hájek & Stephan Hartmann (2010). Bayesian Epistemology. In J. Dancy et al (ed.), A Companion to Epistemology. Blackwell.
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