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Confirmation and Chaos
Michael Friedman, Robert DiSalle, J. D. Trout, Shaun Nichols, Maralee Harrell, Clark Glymour, Carl G. Wagner, Kent W. Staley, Jesús P. Zamora Bonilla & Frederick M. Kronz
Philosophy of Science 69 (2):256-265 (2002)
Abstract
Recently, Rueger and Sharp (1996) and Koperski (1998) have been concerned to show that certain procedural accounts of model confirmation are compromised by non-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
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Citations of this work
A Contextual Approach to Scientific Understanding.Henk W. de Regt & Dennis Dieks - 2005 - Synthese 144 (1):137-170.
An Inferential Model of Scientific Understanding.Mark Newman - 2012 - International Studies in the Philosophy of Science 26 (1):1 - 26.
The rise of compatibilism: A case study in the quantitative history of philosophy.Shaun Nichols - 2007 - Midwest Studies in Philosophy 31 (1):260-270.
Understanding (in) Newton’s Argument for Universal Gravitation.Steffen Ducheyne - 2009 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 40 (2):227-258.
References found in this work
The Logic of Reliable Inquiry.Kevin Kelly - 1998 - British Journal for the Philosophy of Science 49 (2):351-354.
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