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Getting serious about shared features

Khosrowi, Donal

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Authors

Donal Khosrowi



Abstract

In Simulation and Similarity, Michael Weisberg offers a similarity-based account of the model–world relation, which is the relation in virtue of which successful models are successful. Weisberg’s main idea is that models are similar to targets in virtue of sharing features. An important concern about Weisberg’s account is that it remains silent on what it means for models and targets to share features, and consequently on how feature-sharing contributes to models’ epistemic success. I consider three potential ways of concretizing the concept of shared features: as identical, quantitatively sufficiently close, and sufficiently similar features. I argue that each of these concretizations faces significant challenges, leaving unclear how Weisberg’s account substantially contributes to elucidating the relation in virtue of which successful models are successful. Against this background, I outline a pluralistic revision of Weisberg’s account and argue that this revision may not only help Weisberg evade several of the problems that I raise but also offers a novel perspective on the model–world relation more generally.

Citation

Khosrowi, D. (2020). Getting serious about shared features. The British Journal for the Philosophy of Science, 71(2), 523-546. https://doi.org/10.1093/bjps/axy029

Journal Article Type Article
Publication Date Jun 30, 2020
Deposit Date Jul 19, 2018
Publicly Available Date Jul 19, 2018
Journal The British Journal for the Philosophy of Science
Print ISSN 0007-0882
Electronic ISSN 1464-3537
Publisher The University of Chicago Press
Peer Reviewed Peer Reviewed
Volume 71
Issue 2
Pages 523-546
DOI https://doi.org/10.1093/bjps/axy029
Public URL https://durham-repository.worktribe.com/output/1699894

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
© The Author(s) 2018. Published by Oxford University Press on behalf of British Society for the Philosophy of Science.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.






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