Bradley, Richard ORCID: 0000-0003-2184-7844
(2017)
Learning from others: conditioning versus averaging.
Theory and Decision.
ISSN 0040-5833
|
Text
- Published Version
Available under License Creative Commons Attribution. Download (429kB) | Preview |
Abstract
How should we revise our beliefs in response to the expressed probabilistic opinions of experts on some proposition when these experts are in disagreement? In this paper I examine the suggestion that in such circumstances we should adopt a linear average of the experts’ opinions and consider whether such a belief revision policy is compatible with Bayesian conditionalisation. By looking at situations in which full or partial deference to the expressed opinions of others is required by Bayesianism I show that only in trivial circumstances are the requirements imposed by linear averaging compatible with it.
Item Type: | Article |
---|---|
Official URL: | https://link.springer.com/journal/11238 |
Additional Information: | © 2017 The Author © CC BY 4.0 |
Divisions: | Philosophy, Logic and Scientific Method CPNSS |
Subjects: | B Philosophy. Psychology. Religion > B Philosophy (General) |
Date Deposited: | 09 Jun 2017 13:36 |
Last Modified: | 11 Jul 2024 03:09 |
URI: | http://eprints.lse.ac.uk/id/eprint/80762 |
Actions (login required)
![]() |
View Item |