David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:325 - 332 (1990)
This paper claims that adoption of Bayes's theorem as the schema for the appraisal of scientific theories can greatly reduce the distance between Kuhnians and logical empiricists. It is argued that plausibility considerations, which Kuhn considered outside of the logic of science, can be construed as prior probabilities, which play an indispensable role in the logic of science. Problems concerning likelihoods, especially the likelihood on the "catchall," are also considered. Severe difficulties concerning the significance of this probability arise in the evaluation of individual theories, but they can be avoided by restricting our judgments to comparative assessments of competing theories.
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Helena Likwornik (2015). Who’s Afraid of the Big Bad Wolf? The Interweaving of Values and Science. Canadian Journal of Philosophy 45 (3):382-403.
Gordon Belot (forthcoming). Curve-Fitting for Bayesians? British Journal for the Philosophy of Science:axv061.
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John R. Welch (2013). New Tools for Theory Choice and Theory Diagosis. Studies in History and Philosophy of Science 44 (3):318-329.
Harold I. Brown (2005). Incommensurability Reconsidered. Studies in History and Philosophy of Science Part A 36 (1):149-169.
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