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Correspondence Theory of Semantic Information

Miłkowski, Marcin (2020) Correspondence Theory of Semantic Information. [Preprint]

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Abstract

A novel account of semantic information is proposed. The gist is that structural correspondence, analyzed in terms of similarity, underlies an important kind of semantic information. In contrast to extant accounts of semantic information, it does not rely on correlation, covariation, causation, natural laws, or logical inference. Instead, it relies on structural similarity, defined in terms of correspondence between classifications of tokens into types. This account elucidates many existing uses of the notion of information, for example, in the context of scientific models and structural representations in cognitive science. It is poised to open a new research program concerned with various kinds of semantic information, its functions, and its measurement.


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Item Type: Preprint
Creators:
CreatorsEmailORCID
Miłkowski, Marcinmmilkows@ifispan.edu.pl0000-0001-7646-5742
Additional Information: accepted in British Journal for Philosophy of Science
Keywords: semantic information; correspondence theory of information; resemblance; structural representation
Subjects: Specific Sciences > Computation/Information
General Issues > Models and Idealization
Depositing User: Dr. Marcin Miłkowski
Date Deposited: 14 Oct 2020 13:43
Last Modified: 14 Oct 2020 13:43
Item ID: 18226
Subjects: Specific Sciences > Computation/Information
General Issues > Models and Idealization
Date: 2020
URI: http://philsci-archive.pitt.edu/id/eprint/18226

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