Published July 2019
| public
Journal Article
A Theory of Epistemic Risk
- Creators
- Babic, Boris
Abstract
I propose a general alethic theory of epistemic risk according to which the riskiness of an agent's credence function encodes her relative sensitivity to different types of graded error. After motivating and mathematically developing this approach, I show that the epistemic risk function is a scaled reflection of expected inaccuracy (a quantity also known as generalized information entropy). This duality between risk and information enables us to explore the relationship between attitudes to epistemic risk, the choice of scoring rules in epistemic utility theory, and the selection of priors in Bayesian epistemology more generally (including the Laplacean principle of indifference).
Additional Information
© 2019 University of Chicago Press. Received: Jan 2018; Revised: May 2018.Additional details
- Eprint ID
- 97398
- Resolver ID
- CaltechAUTHORS:20190725-073634818
- Created
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2019-07-25Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field