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Abstract
While it is legitimate to study ideas and concepts related to information in their broadest sense, that formal approaches properly belong in specific contexts is a fact that is too often ignored. That their use outside these contexts amounts to misuse or imprecise use cannot and should not be overlooked. This paper presents a framework based on algorithmic information theory for discussing concepts of relevance to information in philosophical contexts. Special attention will be paid to the intersection of syntactic and semantic variants and connections.
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Algorithmic Randomness in Empirical Data.James W. McAllister - 2003 - Studies in History and Philosophy of Science Part A 34 (3):633-646.
Algorithmic Randomness in Empirical Data.James W. McAllister - 2003 - Studies in History and Philosophy of Science Part A 34 (3):633-646.

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