PhilSci Archive

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

[img]
Preview
Text
27047-Article Text-67307-1-10-20180214.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (333kB) | Preview

Abstract

-


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

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: https://doi.org/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-dev.library.pitt.edu/id/eprint/17838

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Altmetric.com

Actions (login required)

View Item View Item