期刊论文详细信息
Information
On Quantifying Semantic Information
关键词: information quantification;    semantic information;    Bar-Hillel;    Carnap;    Floridi;    Truthlikeness;   
DOI  :  10.3390/info2010061
来源: mdpi
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【 摘 要 】

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.

【 授权许可】

CC BY   
© 2011 by the author; licensee MDPI, Basel, Switzerland.

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