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 | ||||||
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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 |
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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 |
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Date: | 2020 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/18226 |
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