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Philosophy of Science and Information

Votsis, Ioannis (2016) Philosophy of Science and Information. The Routledge Handbook of Philosophy of Information. pp. 249-262.

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Abstract

Of all the sub-disciplines of philosophy, the philosophy of science has perhaps the most privileged relationship to information theory. This relationship has been forged through a common interest in themes like induction, probability, confirmation, simplicity, non-ad hocness,
unification and, more generally, ontology. It also has historical roots. One of the founders of algorithmic information theory (AIT), Ray Solomonoff, produced his seminal work on inductive inference as a direct result of grappling with problems first encountered as a student of the influential philosopher of science Rudolf Carnap. There are other such historical connections between the two fields. Alas, there is no space to explore them here. Instead this essay will restrict its attention to a broad and accessible overview of the aforementioned common themes, which, given their nature, mandate an (almost exclusive)
emphasis on AIT as opposed to general information theory.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Votsis, Ioannis
Keywords: philosophy of information, information theory, algorithmic information theory, simplicity, ad hoc, unification, induction, probability, confirmation, Carnap
Subjects: General Issues > Data
Specific Sciences > Computation/Information
General Issues > Confirmation/Induction
General Issues > Realism/Anti-realism
General Issues > Structure of Theories
General Issues > Theory/Observation
General Issues > Values In Science
Depositing User: Dr Ioannis Votsis
Date Deposited: 22 Mar 2017 14:54
Last Modified: 22 Mar 2017 14:54
Item ID: 12929
Journal or Publication Title: The Routledge Handbook of Philosophy of Information
Publisher: Routledge
Subjects: General Issues > Data
Specific Sciences > Computation/Information
General Issues > Confirmation/Induction
General Issues > Realism/Anti-realism
General Issues > Structure of Theories
General Issues > Theory/Observation
General Issues > Values In Science
Date: 2016
Page Range: pp. 249-262
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/12929

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