Means-ends epistemology

British Journal for the Philosophy of Science 50 (1):1-31 (1999)
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Abstract

This paper describes the corner-stones of a means-ends approach to the philosophy of inductive inference. I begin with a fallibilist ideal of convergence to the truth in the long run, or in the 'limit of inquiry'. I determine which methods are optimal for attaining additional epistemic aims (notably fast and steady convergence to the truth). Means-ends vindications of (a version of) Occam's Razor and the natural generalizations in a Goodmanian Riddle of Induction illustrate the power of this approach. The paper establishes a hierarchy of means-ends notions of empirical success, and discusses a number of issues, results and applications of means-ends epistemology.

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Citations of this work

Convergence to the Truth.Hanti Lin - forthcoming - In Kurt Sylvan, Ernest Sosa, Jonathan Dancy & Matthias Steup, The Blackwell Companion to Epistemology, 3rd edition. Wiley Blackwell.
Simplicity.Alan Baker - 2008 - Stanford Encyclopedia of Philosophy.
Belief Revision Theory.Hanti Lin - 2019 - In Richard Pettigrew & Jonathan Weisberg, The Open Handbook of Formal Epistemology. PhilPapers Foundation. pp. 349-396.

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References found in this work

Fact, Fiction, and Forecast.Nelson Goodman - 1983 - Cambridge: Harvard University Press.
Scientific reasoning: the Bayesian approach.Peter Urbach & Colin Howson - 1993 - Chicago: Open Court. Edited by Peter Urbach.
The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.
The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.

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