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Algorithmic randomness in empirical data

According to a traditional view, scientific laws and theories constitute algorithmic compressions of empirical data sets collected from observations and measurements. This article defends the thesis that, to the contrary, empirical data sets are algorithmically incompressible. The reason is that ind...

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Published in:Studies in History & Philosophy of Science Part A Vol. 34; no. 3; pp. 633 - 647
Main Author: McAllister, James W.
Format: Article
Published: Elsevier B.V. Sep2003
Subjects:
Algorithms
Perturbation theory
Information theory
Science
Online Access:View this record in EBSCOhost

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