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Bayesianism as a Set of Meta-criteria and Its Social Application

Iseda, Tetsuji (2015) Bayesianism as a Set of Meta-criteria and Its Social Application. Korean Journal for the Philosophy of Science, 18 (2). pp. 35-64.

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Abstract

This paper aims at giving a general outlook of Bayesianism as a set of meta-criteria for scientific methodology. In particular, it discusses Social Bayesianism, that is, the application of Bayesian meta-criteria to scientific institutions. From a Bayesian point of view, methodologies and institutions that simulate Bayesian belief updating are good ones, and those with more discriminatory power (measurable by likelihood ratio) are better ones than those with less discriminatory power, other things being equal. This paper applies these ideas to a particular issue: diversity in science. Bayesian considerations reveal some conditions for epistemically desirable diversity in science.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Iseda, Tetsuji
Keywords: Bayesianism, two-level theory, social epistemology, diversity, mutual checking
Subjects: General Issues > Confirmation/Induction
General Issues > Science Policy
Depositing User: Dr Tetsuji Iseda
Date Deposited: 13 Aug 2015 19:19
Last Modified: 13 Aug 2015 19:19
Item ID: 11612
Journal or Publication Title: Korean Journal for the Philosophy of Science
Publisher: Korean Society for the Philosophy of Science
Subjects: General Issues > Confirmation/Induction
General Issues > Science Policy
Date: 31 July 2015
Page Range: pp. 35-64
Volume: 18
Number: 2
URI: http://philsci-archive.pitt.edu/id/eprint/11612

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