David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Philosophy of Science 64 (2):191-221 (1997)
Several leading topics outstanding after John Earman's Bayes or Bust? are investigated further, with emphasis on the relevance of Bayesian explication in epistemology of science, despite certain limitations. (1) Dutch Book arguments are reformulated so that their independence from utility and preference in epistemic contexts is evident. (2) The Bayesian analysis of the Quine-Duhem problem is pursued; the phenomenon of a "protective belt" of auxiliary statements around reasonably successful theories is explicated. (3) The Bayesian approach to understanding the superiority of variety of evidence is pursued; a recent challenge (by Wayne) is converted into a positive result on behalf of the Bayesian analysis, potentially with far-reaching consequences. (4) The condition for applying the merger-of-opinion results and the thesis of underdetermination of theories are compared, revealing significant limitations in applicability of the former. (5) Implications concerning "diachronic Dutch Book" arguments and "non-Bayesian shifts" are drawn, highlighting the incompleteness, but not incorrectness, of Bayesian analysis
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Rachael Briggs (forthcoming). Foundations of Probability. Journal of Philosophical Logic:1-16.
Prasanta S. Bandyopadhyay & Gordon G. Brittan (2006). Acceptibility, Evidence, and Severity. Synthese 148 (2):259 - 293.
Colin Howson (2007). Logic with Numbers. Synthese 156 (3):491-512.
Prasanta S. Bandyopadhyay & Gordon G. Brittan (2006). Acceptibility, Evidence, and Severity. Synthese 148 (2):259-293.
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