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

Authors
Simon D'Alfonso
University of Melbourne (PhD)
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  Truthlikeness
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Citations of this work BETA

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.
Strongly Semantic Information and Verisimilitude.Gustavo Cevolani - 2011 - Etica and Politica / Ethics and Politics (2):159-179.

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