The logic of reliable and efficient inquiry
Journal of Philosophical Logic 28 (4):399-438 (1999)
| Abstract | This paper pursues a thorough-going instrumentalist, or means-ends, approach to the theory of inductive inference. I consider three epistemic aims: convergence to a correct theory, fast convergence to a correct theory and steady convergence to a correct theory (avoiding retractions). For each of these, two questions arise: (1) What is the structure of inductive problems in which these aims are feasible? (2) When feasible, what are the inference methods that attain them? Formal learning theory provides the tools for a complete set of answers to these questions. As an illustration of the results, I apply means-ends analysis to various versions of Goodman''s Riddle of Induction. | |||||||||
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Oliver Schulte, Formal Learning Theory. Stanford Encyclopedia of Philosophy.
Matthew J. Rellihan (2009). Fodor's Riddle of Abduction. Philosophical Studies 144 (2):313 - 338.
Bernhard Lauth (1995). Inductive Inference in the Limit of Empirically Adequate Theories. Journal of Philosophical Logic 24 (5):525 - 548.
O. Schulte (2000). Discussion. What to Believe and What to Take Seriously: A Reply to David Chart Concerning the Riddle of Induction. British Journal for the Philosophy of Science 51 (1):151-153.
Daniel Steel (2009). Testability and Ockham's Razor: How Formal and Statistical Learning Theory Converge in the New Riddle of Induction. Journal of Philosophical Logic 38 (5):471 - 489.
Oliver Schulte (2000). Inferring Conservation Laws in Particle Physics: A Case Study in the Problem of Induction. British Journal for the Philosophy of Science 51 (4):771-806.
O. Schulte (1999). Means-Ends Epistemology. British Journal for the Philosophy of Science 50 (1):1-31.
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