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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

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MLA
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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.
Journal cover image

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