Systems without a graphical causal representation
Publication
, Journal Article
Hausman, DM; Stern, R; Weinberger, N
Published in: Synthese
January 1, 2014
There are simple mechanical systems that elude causal representation. We describe one that cannot be represented in a single directed acyclic graph. Our case suggests limitations on the use of causal graphs for causal inference and makes salient the point that causal relations among variables depend upon details of causal setups, including values of variables. © 2013 Springer Science+Business Media Dordrecht.
Duke Scholars
Published In
Synthese
DOI
EISSN
1573-0964
ISSN
0039-7857
Publication Date
January 1, 2014
Volume
191
Issue
8
Start / End Page
1925 / 1930
Related Subject Headings
- Philosophy
- 2203 Philosophy
- 2202 History and Philosophy of Specific Fields
- 0801 Artificial Intelligence and Image Processing
Citation
APA
Chicago
ICMJE
MLA
NLM
Hausman, D. M., Stern, R., & Weinberger, N. (2014). Systems without a graphical causal representation. Synthese, 191(8), 1925–1930. https://doi.org/10.1007/s11229-013-0380-3
Hausman, D. M., R. Stern, and N. Weinberger. “Systems without a graphical causal representation.” Synthese 191, no. 8 (January 1, 2014): 1925–30. https://doi.org/10.1007/s11229-013-0380-3.
Hausman DM, Stern R, Weinberger N. Systems without a graphical causal representation. Synthese. 2014 Jan 1;191(8):1925–30.
Hausman, D. M., et al. “Systems without a graphical causal representation.” Synthese, vol. 191, no. 8, Jan. 2014, pp. 1925–30. Scopus, doi:10.1007/s11229-013-0380-3.
Hausman DM, Stern R, Weinberger N. Systems without a graphical causal representation. Synthese. 2014 Jan 1;191(8):1925–1930.
Published In
Synthese
DOI
EISSN
1573-0964
ISSN
0039-7857
Publication Date
January 1, 2014
Volume
191
Issue
8
Start / End Page
1925 / 1930
Related Subject Headings
- Philosophy
- 2203 Philosophy
- 2202 History and Philosophy of Specific Fields
- 0801 Artificial Intelligence and Image Processing