The Brier Rule Is not a Good Measure of Epistemic Utility (and Other Useful Facts about Epistemic Betterness)
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Final Accepted Manuscript
Affiliation
Univ ArizonaIssue Date
2015-12-14Keywords
BayesianismBrier score
epistemic utility
formal epistemology
law of likelihoods
proper scoring rules
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ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDCitation
The Brier Rule Is not a Good Measure of Epistemic Utility (and Other Useful Facts about Epistemic Betterness) 2015, 94 (3):576 Australasian Journal of PhilosophyRights
© 2015 Australasian Association of Philosophy.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Measures of epistemic utility are used by formal epistemologists to make determinations of epistemic betterness among cognitive states. The Brier rule is the most popular choice (by far) among formal epistemologists for such a measure. In this paper, however, we show that the Brier rule is sometimes seriously wrong about whether one cognitive state is epistemically better than another. In particular, there are cases where an agent gets evidence that definitively eliminates a false hypothesis (and the probabilities assigned to the other hypotheses stay in the same ratios), but where the Brier rule says that things have become epistemically worse. Along the way to this 'elimination experiment' counter-example to the Brier rule as a measure of epistemic utility, we identify several useful monotonicity principles for epistemic betterness. We also reply to several potential objections to this counter-example.Note
Published online: 14 Dec 2015; 18 Month Embargo.ISSN
0004-84021471-6828
Version
Final accepted manuscriptAdditional Links
http://www.tandfonline.com/doi/full/10.1080/00048402.2015.1123741ae974a485f413a2113503eed53cd6c53
10.1080/00048402.2015.1123741