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Information 2015, 6(1), 23-48; doi:10.3390/info6010023

Measures of Information

Capgemini UK, No. 1, Forge End, Woking, Surrey, GU21 6DB, UK
Academic Editor: Gordana Dodig-Crnkovic
Received: 17 November 2014 / Revised: 12 January 2015 / Accepted: 19 January 2015 / Published: 27 January 2015
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Abstract

This paper builds an integrated framework of measures of information based on the Model for Information (MfI) developed by the author. Since truth is expressed using information, an analysis of truth depends on the nature of information and its limitations. These limitations include those implied by the geometry of information and those implied by the relativity of information. This paper proposes an approach to truth and truthlikeness that takes these limitations into account by incorporating measures of the quality of information. Another measure of information is the amount of information. This has played a role in two important theoretical difficulties—the Bar-Hillel Carnap paradox and the “scandal of deduction”. This paper further provides an analysis of the amount of information, based on MfI, and shows how the MfI approach can resolve these difficulties. View Full-Text
Keywords: information; measures; information quality; truth; truthlikeness; amount of information information; measures; information quality; truth; truthlikeness; amount of information
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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Walton, P. Measures of Information. Information 2015, 6, 23-48.

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