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Proceedings 2017, 1(3), 68; doi:10.3390/IS4SI-2017-03931

What We Can Discover from Dimensional Analysis of the Information Concept

School of Religion, Philosophy and Classics, University of KwaZulu-Natal, Durban 4041, South Africa
Presented at the IS4SI 2017 Summit DIGITALISATION FOR A SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.
Published: 8 June 2017
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Abstract

Dimensional analysis is a technique used by scientists and engineers to check the rationality of their calculations, but it can also be used to determine the nature of the quantities used. Information is usually measured in bits, or binary digits, but it could be measured using any other base. I will be arguing that, given the possibility of an objective measure of information in terms of asymmetries, and the relation of information to order, Schrὂdinger’s suggestion that negentropy was an appropriate measure should be taken seriously. After clarifying this notion, I use dimensional analysis to show that negentropy has units of degrees of freedom, and that this is a sensible unit of information.
Keywords: information; dimensional analysis; entropy; negentropy; order; disorder; degrees of freedom information; dimensional analysis; entropy; negentropy; order; disorder; degrees of freedom
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Collier, J. What We Can Discover from Dimensional Analysis of the Information Concept. Proceedings 2017, 1, 68.

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