Bradley, Richard 
ORCID: 0000-0003-2184-7844
(2017)
Learning from others: conditioning versus averaging.
Theory and Decision.
ISSN 0040-5833
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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: | 12 Dec 2024 01:29 |
| URI: | http://eprints.lse.ac.uk/id/eprint/80762 |
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