Explanationist aid for the theory of inductive logic
British Journal for the Philosophy of Science 60 (2):345-375 (2009)
| 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 | |||||||||
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Louis E. Loeb (2006). Psychology, Epistemology, and Skepticism in Hume's Argument About Induction. Synthese 152 (3):321 - 338.
John D. Norton (2007). Probability Disassembled. British Journal for the Philosophy of Science 58 (2):141 - 171.
F. Bergadano (1993). Machine Learning and the Foundations of Inductive Inference. Minds and Machines 3 (1):31-51.
James Beebe (2008). Can Rationalist Abductivism Solve the Problem of Induction? Pacific Philosophical Quarterly 89 (2):151-168.
Colin Howson (1991). The Last Word on Induction? Erkenntnis 34 (1):73 - 82.
John D. Norton (2003). A Material Theory of Induction. Philosophy of Science 70 (4):647-670.
Massimiliano Badino (2004). An Application of Information Theory to the Problem of the Scientific Experiment. Synthese 140 (3):355 - 389.
D. C. Stove (1986). The Rationality of Induction. Oxford University Press.
John D. Norton (2010). There Are No Universal Rules for Induction. Philosophy of Science 77 (5):765-777.
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