An application of information theory to the problem of the scientific experiment
Synthese 140 (3):355 - 389 (2004)
| Abstract | There are two basic approaches to the problem of induction:the empirical one, which deems that the possibility of induction depends on how theworld was made (and how it works) and the logical one, which considers the formation(and function) of language. The first is closer to being useful for induction, whilethe second is more rigorous and clearer. The purpose of this paper is to create an empiricalapproach to induction that contains the same formal exactitude as the logical approach.This requires: (a) that the empirical conditions for the induction are enunciatedand (b) that the most important results already obtained from inductive logic are againdemonstrated to be valid. Here we will be dealing only with induction by elimination,namely the analysis of the experimental confutation of a theory. The result will bea rule of refutation that takes into consideration all of the empirical aspect of theexperiment and has each of the asymptotic properties which inductive logic has shown tobe characteristic of induction. | |||||||||
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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.
Jared Bates (2005). The Old Problem of Induction and the New Reflective Equilibrium. Dialectica 59 (3):347–356.
Daniel Steel & S. Kedzie Hall (2011). What If the Principle of Induction Is Normative? Formal Learning Theory and Hume's Problem. International Studies in the Philosophy of Science 24 (2):171-185.
Nicholas Maxwell (1979). Induction, Simplicity and Scientific Progress. Scientia 114:629-653.
John D. Norton (2010). There Are No Universal Rules for Induction. Philosophy of Science 77 (5):765-777.
D. C. Stove (1986). The Rationality of Induction. Oxford University Press.
Peter Gärdenfors (1990). Induction, Conceptual Spaces and AI. Philosophy of Science 57 (1):78-95.
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