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Bayesian Philosophy of Science

Jan Sprenger and Stephan Hartmann


“Bayesian Philosophy of Science” addresses classical topics in philosophy of science, using a single key concept—degrees of beliefs—in order to explain and to elucidate manifold aspects of scientific reasoning. The basic idea is that the value of convincing evidence, good explanations, intertheoretic reduction, and so on, can all be captured by the effect it has on our degrees of belief. This idea is elaborated as a cycle of variations about the theme of representing rational degrees of belief by means of subjective probabilities, and changing them by a particular rule (Bayesian Conditionaliza ... More

Keywords: Bayesian inference, scientific reasoning and argumentation, scientific method, explication, formal modeling, probability, uncertain reasoning, statistical inference

Bibliographic Information

Print publication date: 2019 Print ISBN-13: 9780199672110
Published to Oxford Scholarship Online: October 2019 DOI:10.1093/oso/9780199672110.001.0001


Affiliations are at time of print publication.

Jan Sprenger, author
University of Turin

Stephan Hartmann, author
LMU Munich