Repository URL:
http://philsci-archive.pitt.edu/id/eprint/11612
Author(s):
Tetsuji Iseda
Publisher(s):
Korean Society for the Philosophy of Science
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article description
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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