Information 2011, 2(1), 61-101; doi:10.3390/info2010061

On Quantifying Semantic Information

Received: 17 November 2010; in revised form: 10 January 2011 / Accepted: 17 January 2011 / Published: 18 January 2011
(This article belongs to the Special Issue What Is 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.
Abstract: The purpose of this paper is to look at some existing methods of semantic information quantification and suggest some alternatives. It begins with an outline of Bar-Hillel and Carnap’s theory of semantic information before going on to look at Floridi’s theory of strongly semantic information. The latter then serves to initiate an in-depth investigation into the idea of utilising the notion of truthlikeness to quantify semantic information. Firstly, a couple of approaches to measure truthlikeness are drawn from the literature and explored, with a focus on their applicability to semantic information quantification. Secondly, a similar but new approach to measure truthlikeness/information is presented and some supplementary points are made.
Keywords: information quantification; semantic information; Bar-Hillel; Carnap; Floridi; Truthlikeness
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MDPI and ACS Style

D’Alfonso, S. On Quantifying Semantic Information. Information 2011, 2, 61-101.

AMA Style

D’Alfonso S. On Quantifying Semantic Information. Information. 2011; 2(1):61-101.

Chicago/Turabian Style

D’Alfonso, Simon. 2011. "On Quantifying Semantic Information." Information 2, no. 1: 61-101.

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