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Bayesian Epistemology

Luc Bovens and Stephan Hartmann


Probabilistic models have much to offer to epistemology and philosophy of science. Arguably, the coherence theory of justification claims that the more coherent a set of propositions is, the more confident one ought to be in its content, ceteris paribus. An impossibility result shows that there cannot exist a coherence ordering. A coherence quasi-ordering can be constructed that respects this claim and is relevant to scientific-theory choice. Bayesian-Network models of the reliability of information sources are made applicable to Condorcet-style jury voting, Tversky and Kahneman’s Linda puzzle ... More

Keywords: Bayesian Networks, coherence measures, coherence theory of justification, Condorcet Jury Theorem, Duhem–Quine thesis, evidence, Linda puzzle, probabilistic models, reliability, scientific-theory choice, testimony, Tversky and Kahneman, variety-of-evidence thesis

Bibliographic Information

Print publication date: 2004 Print ISBN-13: 9780199269754
Published to Oxford Scholarship Online: January 2005 DOI:10.1093/0199269750.001.0001


Affiliations are at time of print publication.

Luc Bovens, author
Department of Philosophy, University of Colorado at Boulder
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Stephan Hartmann, author
London School of Economics
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