Bayesianism and information

Authored by: Michael Wilde , Jon Williamson

The Routledge Handbook of Philosophy of Information

Print publication date:  June  2016
Online publication date:  June  2016

Print ISBN: 9781138796935
eBook ISBN: 9781315757544
Adobe ISBN: 9781317633495

10.4324/9781315757544.ch16

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Abstract

In epistemology, Bayesianism is a theory about rational degrees of belief that makes use of the mathematical theory of probability. There is disagreement among Bayesians, however, about which norms govern rational degrees of belief. In this chapter, we first provide an introduction to three varieties of Bayesianism: strictly subjective Bayesianism, empirically based subjective Bayesianism, and objective Bayesianism. Then we discuss how one might appeal to information theory in order to justify the norms of objective Bayesianism.

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