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Machine Learning and the Future of Realism

Hooker, Giles and Hooker, Cliff (2018) Machine Learning and the Future of Realism. Spontaneous Generations: A Journal for the History and Philosophy of Science, 9 (1). pp. 174-182. ISSN 1913-0465

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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Hooker, Giles
Hooker, Cliff
Keywords: Scientific Realism; Epistemic Issues; Epistemology of Science
Subjects: General Issues > Scientific Metaphysics
General Issues > History of Philosophy of Science
General Issues > Realism/Anti-realism
General Issues > Science and Society
General Issues > Technology
General Issues > Values In Science
Depositing User: Jordan Miller
Date Deposited: 01 Aug 2021 13:39
Last Modified: 01 Aug 2021 13:39
Item ID: 17838
Journal or Publication Title: Spontaneous Generations: A Journal for the History and Philosophy of Science
Publisher: The University of Toronto
Official URL: https://spontaneousgenerations.library.utoronto.ca...
DOI or Unique Handle: 10.4245/sponge.v9i1.27047
Subjects: General Issues > Scientific Metaphysics
General Issues > History of Philosophy of Science
General Issues > Realism/Anti-realism
General Issues > Science and Society
General Issues > Technology
General Issues > Values In Science
Date: 15 February 2018
Page Range: pp. 174-182
Volume: 9
Number: 1
ISSN: 1913-0465
URI: https://philsci-archive.pitt.edu/id/eprint/17838

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