David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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British Journal for the Philosophy of Science 60 (2):345-375 (2009)
A central problem facing a probabilistic approach to the problem of induction is the difficulty of sufficiently constraining prior probabilities so as to yield the conclusion that induction is cogent. The Principle of Indifference, according to which alternatives are equiprobable when one has no grounds for preferring one over another, represents one way of addressing this problem; however, the Principle faces the well-known problem that multiple interpretations of it are possible, leading to incompatible conclusions. I propose a partial solution to the latter problem, drawing on the notion of explanatory priority. The resulting synthesis of Bayesian and inference-to-best-explanation approaches affords a principled defense of prior probability distributions that support induction
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References found in this work BETA
Alan Hájek (2003). What Conditional Probability Could Not Be. Synthese 137 (3):273--323.
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Citations of this work BETA
Michael Huemer (forthcoming). Serious Theories and Skeptical Theories: Why You Are Probably Not a Brain in a Vat. Philosophical Studies:1-22.
Robert Smithson (forthcoming). The Principle of Indifference and Inductive Scepticism. British Journal for the Philosophy of Science:axv029.
W. Roche & E. Sober (2013). Explanatoriness is Evidentially Irrelevant, or Inference to the Best Explanation Meets Bayesian Confirmation Theory. Analysis 73 (4):659-668.
Adolfas Mackonis (2013). Inference to the Best Explanation, Coherence and Other Explanatory Virtues. Synthese 190 (6):975-995.
Leah Henderson (2014). Bayesianism and Inference to the Best Explanation. British Journal for the Philosophy of Science 65 (4):687-715.
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