| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9742616 | Studies in History and Philosophy of Science Part A | 2005 | 12 Pages |
Abstract
James McAllister's 2003 article, 'Algorithmic randomness in empirical data', claims that empirical data sets are algorithmically random, and hence incompressible. We show that this claim is mistaken. We present theoretical arguments and empirical evidence for compressibility, and discuss the matter in the framework of Minimum Message Length (MML) inference.
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Authors
Charles Twardy, Steve Gardner, David L. Dowe,