Instrumentalism, parsimony, and the akaike framework

Akaike’s framework for thinking about model selection in terms of the goal of predictive accuracy and his criterion for model selection have important philosophical implications. Scientists often test models whose truth values they already know, and they often decline to reject models that they know full well are false. Instrumentalism helps explain this pervasive feature of scientific practice, and Akaike’s framework helps provide instrumentalism with the epistemology it needs. Akaike’s criterion for model selection also throws light on the role of parsimony considerations in hypothesis evaluation. I explain the basic ideas behind Akaike’s framework and criterion; several biological examples, including the use of maximum likelihood methods in phylogenetic inference, are considered.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1086/341839
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 26,188
Through your library
References found in this work BETA
The Scientific Image.C. Van Fraassen Bas - 1980 - Oxford University Press.
Likelihood.A. W. F. Edwards - 1972 - Cambridge University Press.

View all 7 references / Add more references

Citations of this work BETA
New Tools for Theory Choice and Theory Diagosis.John R. Welch - 2013 - Studies in History and Philosophy of Science Part A 44 (3):318-329.

Add more citations

Similar books and articles
Model Selection, Simplicity, and Scientific Inference.Wayne C. Myrvold & William L. Harper - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S135-S149.
Akaike Information Criterion, Curve-Fitting, and the Philosophical Problem of Simplicity.I. Kieseppa - 1997 - British Journal for the Philosophy of Science 48 (1):21-48.
AIC and Large Samples.I. A. Kieseppä - 2003 - Philosophy of Science 70 (5):1265-1276.
Parsimony and Predictive Equivalence.Elliott Sober - 1996 - Erkenntnis 44 (2):167 - 197.

Monthly downloads

Added to index


Total downloads

244 ( #13,707 of 2,153,830 )

Recent downloads (6 months)

2 ( #279,963 of 2,153,830 )

How can I increase my downloads?

My notes
Sign in to use this feature

There  are no threads in this forum
Nothing in this forum yet.

Other forums