Learning from others: conditioning versus averaging

Theory and Decision 85 (1):5-20 (2017)
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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.

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Citations of this work

Support for Geometric Pooling.Jean Baccelli & Rush T. Stewart - 2023 - Review of Symbolic Logic 16 (1):298-337.
The Principal Principle and subjective Bayesianism.Christian Wallmann & Jon Williamson - 2019 - European Journal for Philosophy of Science 10 (1):1-14.
The Principal Principle and subjective Bayesianism.Christian Wallmann & Jon Williamson - 2019 - European Journal for Philosophy of Science 10 (1):1-14.

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References found in this work

Reflection and disagreement.Adam Elga - 2007 - Noûs 41 (3):478–502.
Belief and the Will.Bas C. van Fraassen - 1984 - Journal of Philosophy 81 (5):235-256.
Belief and the will.Bas C. van Fraassen - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 235-256.
Probabilistic Opinion Pooling.Franz Dietrich & Christian List - 2016 - In Alan Hájek & Christopher Hitchcock (eds.), The Oxford Handbook of Probability and Philosophy. Oxford: Oxford University Press.

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