David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
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
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
David Lewis (1994). Humean Supervenience Debugged. Mind 103 (412):473--490.
Alan Hájek (2003). What Conditional Probability Could Not Be. Synthese 137 (3):273--323.
Fred I. Dretske (1977). Laws of Nature. Philosophy of Science 44 (2):248-268.
Gilbert H. Harman (1965). The Inference to the Best Explanation. Philosophical Review 74 (1):88-95.
Michael Huemer (2009). When is Parsimony a Virtue? Philosophical Quarterly 59 (235):216-236.
Citations of this work BETA
Michael Huemer (forthcoming). A Liberal Realist Answer to Debunking Skeptics: The Empirical Case for Realism. Philosophical Studies:1-28.
Adolfas Mackonis (2013). Inference to the Best Explanation, Coherence and Other Explanatory Virtues. Synthese 190 (6):975-995.
W. Roche & E. Sober (2013). Explanatoriness is Evidentially Irrelevant, or Inference to the Best Explanation Meets Bayesian Confirmation Theory. Analysis 73 (4):659-668.
Michael Huemer (2016). Serious Theories and Skeptical Theories: Why You Are Probably Not a Brain in a Vat. Philosophical Studies 173 (4):1031-1052.
Robert Smithson (forthcoming). The Principle of Indifference and Inductive Scepticism. British Journal for the Philosophy of Science:axv029.
Similar books and articles
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.
John D. Norton (2013). A Material Dissolution of the Problem of Induction. Synthese 191 (4):1-20.
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.
Added to index2009-05-20
Total downloads74 ( #60,945 of 1,935,081 )
Recent downloads (6 months)15 ( #36,930 of 1,935,081 )
How can I increase my downloads?