Title
Date of Original Version
6-2002
Type
Article
Published In
Philosophy of Science, Vol. 69 (June 2002), 256-265.
Abstract or Table of Contents
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.
Comments
Received August 2001; revised January 2002.