David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Erkenntnis 69 (3):335-349 (2008)
In his Bayesian Nets and Causality, Jon Williamson presents an ‘Objective Bayesian’ interpretation of probability, which he endeavours to distance from the logical interpretation yet associate with the subjective interpretation. In doing so, he suggests that the logical interpretation suffers from severe epistemological problems that do not affect his alternative. In this paper, I present a challenge to his analysis. First, I closely examine the relationship between the logical and ‘Objective Bayesian’ views, and show how, and why, they are highly similar. Second, I argue that the logical interpretation is not manifestly inferior, at least for the reasons that Williamson offers. I suggest that the key difference between the logical and ‘Objective Bayesian’ views is in the domain of the philosophy of logic; and that the genuine disagreement appears to be over Platonism versus nominalism (within weak psychologism).
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References found in this work BETA
Joseph Louis François Bertrand (1888). Calcul des Probabilités. Gauthier-Villars Et Fils.
Rudolf Carnap (1962). Logical Foundations of Probability. Chicago]University of Chicago Press.
J. Franklin (2001). Resurrecting Logical Probability. Erkenntnis 55 (2):277-305.
Susan Haack (1978). Philosophy of Logics. Cambridge University Press.
Ian Hacking (1995). The Emergence of Probability. Cambridge : Cambridge University Press.
Citations of this work BETA
Darrell P. Rowbottom (2010). Corroboration and Auxiliary Hypotheses: Duhem's Thesis Revisited. Synthese 177 (1):139-149.
Darrell P. Rowbottom (2012). Objective Bayesianism Defended? Metascience 21 (1):193-196.
Darrell P. Rowbottom (2012). Identification in Games: Changing Places. Erkenntnis 77 (2):197-206.
Darrell P. Rowbottom (2013). Group Level Interpretations of Probability: New Directions. Pacific Philosophical Quarterly 94 (2):188-203.
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Gregory Wheeler & Jon Williamson (2011). Evidential Probability and Objective Bayesian Epistemology. In Prasanta S. Bandyopadhyay & Malcolm Forster (eds.), Handbook of the Philosophy of Statistics. Elsevier.
J. Ellenberg & E. Sober (2011). Objective Probabilities in Number Theory. Philosophia Mathematica 19 (3):308-322.
Jon Williamson (2008). Objective Bayesianism with Predicate Languages. Synthese 163 (3):341 - 356.
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