© 1995 by British Society for the Philosophy of Science
DISCUSSION |
Forster and Sober on the Curve-Fitting Problem
Division of Life Sciences, Scarborough College, University of Toronto Scarborough, Ontario MIC 1A4, Canada
Forster and Sober present a solution to the curve-fitting problem based on Akaike's Theorem. Their analysis shows that the curve with the best epistemic credentials need not always be the curve that most closely fits the data. However, their solution does not, without further argument, avoid the two difficulties that are traditionally associated with the curve-fitting problem: (1) that there are infinitely many equally good candidate-curves relative to any given set of data, and (2) that these best candidates include curves with indefinitely many bumps.