The Brier Rule Is not a Good Measure of Epistemic Utility (and Other Useful Facts about Epistemic Betterness)
dc.contributor.author | Fallis, Don | |
dc.contributor.author | Lewis, Peter J. | |
dc.date.accessioned | 2016-12-06T01:24:45Z | |
dc.date.available | 2016-12-06T01:24:45Z | |
dc.date.issued | 2015-12-14 | |
dc.identifier.citation | 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 Philosophy | en |
dc.identifier.issn | 0004-8402 | |
dc.identifier.issn | 1471-6828 | |
dc.identifier.doi | 10.1080/00048402.2015.1123741 | |
dc.identifier.uri | http://hdl.handle.net/10150/621517 | |
dc.description.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. | |
dc.language.iso | en | en |
dc.publisher | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD | en |
dc.relation.url | http://www.tandfonline.com/doi/full/10.1080/00048402.2015.1123741 | en |
dc.rights | © 2015 Australasian Association of Philosophy. | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Bayesianism | en |
dc.subject | Brier score | en |
dc.subject | epistemic utility | en |
dc.subject | formal epistemology | en |
dc.subject | law of likelihoods | en |
dc.subject | proper scoring rules | en |
dc.title | The Brier Rule Is not a Good Measure of Epistemic Utility (and Other Useful Facts about Epistemic Betterness) | en |
dc.type | Article | en |
dc.contributor.department | Univ Arizona | en |
dc.identifier.journal | Australasian Journal of Philosophy | en |
dc.description.note | Published online: 14 Dec 2015; 18 Month Embargo. | en |
dc.description.collectioninformation | 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. | en |
dc.eprint.version | Final accepted manuscript | en |
refterms.dateFOA | 2017-06-14T00:00:00Z | |
html.description.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. |