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- W2136943651 abstract "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. 1. A Probabilistic Formulation of the Problem of Induction2. A Problem with Objective Bayesianism2.1. Intuitive motivation for the Principle of Indifference2.2. The inconsistency objection2.3. An effort to contain the problem3. Explanationist Relief for Objective Bayesianism3.1. Explanation and explanatory priority3.2. Explanatory priority and the assignment of priors3.3. In defense of Laplace3.4. The metaphysics of the explanationist defense: causation and laws3.5. Inference to the best explanation?4. Problems and objections4.1. Unknown explanatory possibilities4.2. Empirical reasoning about explanatory priority4.3. The probability of deterministic laws4.4. Changing chances4.5. Scruples concerning a priori probability" @default.
- W2136943651 created "2016-06-24" @default.
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- W2136943651 date "2009-06-01" @default.
- W2136943651 modified "2023-10-16" @default.
- W2136943651 title "Explanationist Aid for the Theory of Inductive Logic" @default.
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- W2136943651 doi "https://doi.org/10.1093/bjps/axp008" @default.
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