Synthese 192 (12):3817-3837 (2015)

Authors
Petri Ylikoski
University of Helsinki
Jaakko Kuorikoski
University of Helsinki
Abstract
This paper provides an inferentialist account of model-based understanding by combining a counterfactual account of explanation and an inferentialist account of representation with a view of modeling as extended cognition. This account makes it understandable how the manipulation of surrogate systems like models can provide genuinely new empirical understanding about the world. Similarly, the account provides an answer to the question how models, that always incorporate assumptions that are literally untrue of the model target, can still provide factive explanations. Finally, the paper shows how the contrastive counterfactual theory of explanation can provide tools for assessing the explanatory power of models
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1007/s11229-014-0591-2
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 54,466
Through your library

References found in this work BETA

View all 49 references / Add more references

Citations of this work BETA

Understanding From Machine Learning Models.Emily Sullivan - forthcoming - British Journal for the Philosophy of Science:axz035.
Idealizations and Understanding: Much Ado About Nothing?Emily Sullivan & Kareem Khalifa - 2019 - Australasian Journal of Philosophy 97 (4):673-689.
Understanding Does Not Depend on (Causal) Explanation.Philippe Verreault-Julien - 2019 - European Journal for Philosophy of Science 9 (2):18.

View all 12 citations / Add more citations

Similar books and articles

Analytics

Added to PP index
2014-11-12

Total views
67 ( #144,365 of 2,374,858 )

Recent downloads (6 months)
3 ( #264,773 of 2,374,858 )

How can I increase my downloads?

Downloads

My notes