On Quantifying Semantic Information

Information 2 (1):61-101 (2011)
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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.

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Simon D'Alfonso
University of Melbourne (PhD)

Citations of this work

Semantic conceptions of information.Luciano Floridi - 2008 - Stanford Encyclopedia of Philosophy.
Thinking about Semantic Information.Marcin Miłkowski - 2020 - Avant: Trends in Interdisciplinary Studies 11 (2):1-10.
Inter-model connectives and substructural logics.Igor Sedlár - 2014 - In Roberto Ciuni, Heinrich Wansing & Caroline Willkommen (eds.), Recent Trends in Philosophical Logic (Proceedings of Trends in Logic XI). Cham, Switzerland: Springer. pp. 195-209.

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