Confirmation and chaos

Philosophy of Science 69 (2):256-265 (2002)
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Abstract

Recently, Rueger and Sharp (1996) and Koperski (1998) have been concerned to show that certain procedural accounts of model confirmation are compromised by nonā€linear dynamics. We suggest that the issues raised are better approached by considering whether chaotic data analysis methods allow for reliable inference from data. We provide a framework and an example of this approach.

Author Profiles

Maralee Harrell
University of California, San Diego
Clark Glymour
Carnegie Mellon University

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