Mind 126 (504):1155-1187 (2017)
| Authors |
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| Abstract |
Greaves and Wallace argue that conditionalization maximizes expected accuracy. In this paper I show that their result only applies to a restricted range of cases. I then show that the update procedure that
maximizes expected accuracy in general is one in which, upon learning P, we conditionalize, not on P, but on the proposition that we learned P. After proving this result, I provide further generalizations and show that much of the accuracy-first epistemology program is committed to KK-like iteration principles and to the existence of a class of propositions that rational agents will be certain of if and only if they are true.
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| Keywords | Conditionalization Accuracy KK |
| Categories | (categorize this paper) |
| Reprint years | 2017 |
| DOI | 10.1093/mind/fzw027 |
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References found in this work BETA
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Citations of this work BETA
An Accuracy Based Approach to Higher Order Evidence.Miriam Schoenfield - 2018 - Philosophy and Phenomenological Research 96 (3):690-715.
Higher-Order Evidence.Kevin Dorst - forthcoming - In Maria Lasonen-Aarnio & Clayton Littlejohn (eds.), The Routledge Handbook for the Philosophy of Evidence. Routledge.
Conditional Probabilities.Kenny Easwaran - 2019 - In Richard Pettigrew & Jonathan Weisberg (eds.), The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 131-198.
View all 28 citations / Add more citations
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