Information | |
On Quantifying Semantic Information | |
关键词: information quantification; semantic information; Bar-Hillel; Carnap; Floridi; Truthlikeness; | |
DOI : 10.3390/info2010061 | |
来源: mdpi | |
【 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.
【 预 览 】
Files | Size | Format | View |
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RO202003190051081ZK.pdf | 368KB | download |