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

On Quantifying Semantic Information

Department of Philosophy, East Wing, Old Quad, The University of Melbourne, Victoria 3010, Australia
Received: 17 November 2010 / Revised: 10 January 2011 / Accepted: 17 January 2011 / Published: 18 January 2011
(This article belongs to the Special Issue What Is Information?)
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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 information quantification; semantic information; Bar-Hillel; Carnap; Floridi; Truthlikeness
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

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

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