Australasian Journal of Philosophy 94 (3):576-590 (2016)
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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 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, 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.
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Reprint years | 2016 |
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DOI | 10.1080/00048402.2015.1123741 |
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References found in this work BETA
Bayes or Bust?: A Critical Examination of Bayesian Confirmation Theory.John Earman - 1992 - Bradford.
Evidence and Evolution: The Logic Behind the Science.Elliott Sober - 2008 - Cambridge University Press.
Bayes or Bust?: A Critical Examination of Bayesian Confirmation Theory.John Earman - 1992 - MIT Press.
Knowledge in a Social World.Alvin I. Goldman - 2002 - Philosophy and Phenomenological Research 64 (1):185-190.
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Citations of this work BETA
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Learning From Conditionals.Benjamin Eva, Stephan Hartmann & Soroush Rafiee Rad - 2020 - Mind 129 (514):461-508.
Accuracy, Verisimilitude, and Scoring Rules.Jeffrey Dunn - 2019 - Australasian Journal of Philosophy 97 (1):151-166.
Are Algorithms Value-Free? Feminist Theoretical Virtues in Machine Learning.Gabbrielle Johnson - forthcoming - Journal Moral Philosophy.
View all 11 citations / Add more citations
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