Philosophical Studies

, Volume 174, Issue 11, pp 2645–2666 | Cite as

Uncovering constitutive relevance relations in mechanisms

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Abstract

In this paper I argue that constitutive relevance relations in mechanisms behave like a special kind of causal relation in at least one important respect: Under suitable circumstances constitutive relevance relations produce the Markov factorization. Based on this observation one may wonder whether standard methods for causal discovery could be fruitfully applied to uncover constitutive relevance relations. This paper is intended as a first step into this new area of philosophical research. I investigate to what extent the PC algorithm, originally developed for causal search, can be used for constitutive relevance discovery. I also discuss possible objections and certain limitations of a constitutive relevance discovery procedure based on PC.

Keywords

Constitutive relevance Mechanisms Causal Bayes nets Discovery Causal modeling 

References

  1. Baumgartner, M., & Casini, L. (in press). An abductive theory of constitution. Philosophy of Science.Google Scholar
  2. Baumgartner, M., & Gebharter, A. (2016). Constitutive relevance, mutual manipulability, and fat-handedness. British Journal for the Philosophy of Science, 67(3), 731–756.CrossRefGoogle Scholar
  3. Bechtel, W., & Abrahamsen, A. (2005). Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences, 36, 421–441.CrossRefGoogle Scholar
  4. Chalupka, K., Perona, P., & Eberhardt, F. (2014). Visual causal feature learning. arXiv.org,2309.
  5. Chu, T. J., Glymour, C., Schemes, R., & Spirtes, P. (2003). A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays. Bioinformatics, 19(9), 1147–1152.CrossRefGoogle Scholar
  6. Craver, C. (2007a). Constitutive explanatory relevance. Journal of Philosophical Research, 32, 3–20.CrossRefGoogle Scholar
  7. Craver, C. (2007b). Explaining the brain. Oxford: Clarendon Press.CrossRefGoogle Scholar
  8. Craver, C., & Bechtel, W. (2007). Top-down causation without top-down causes. Biology and Philosophy, 22(4), 547–563.CrossRefGoogle Scholar
  9. Eronen, M. I. (2011). Reduction in philosophy of mind. Heusenstamm: De Gruyter.CrossRefGoogle Scholar
  10. Fazekas, P., & Kertesz, G. (2011). Causation at different levels: Tracking the commitments of mechanistic explanations. Biology and Philosophy, 26(3), 365–383.CrossRefGoogle Scholar
  11. Gebharter, A. (in press). Causal nets, interventionism, and mechanisms: Philosophical foundations and applications. Synthese Library. Dordrecht: Springer.Google Scholar
  12. Gebharter, A. (2015). Causal exclusion and causal Bayes nets. Philosophy and Phenomenological Research. doi:10.1111/phpr.12247.
  13. Glennan, S. (1996). Mechanisms and the nature of causation. Erkenntnis, 44(1), 49–71.CrossRefGoogle Scholar
  14. Glymour, C. (2004). Critical notice. British Journal for the Philosophy of Science, 55(4), 779–790.CrossRefGoogle Scholar
  15. Glymour, C., Spirtes, P., & Scheines, R. (1991). Causal inference. Erkenntnis, 35(1/3), 151–189.Google Scholar
  16. Harbecke, J. (2015). The regularity theory of mechanistic constitution and a methodology for constitutive inference. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 54, 10–19.CrossRefGoogle Scholar
  17. Illari, P. M., Russo, F., & Williamson, J. (Eds.). (2011). Causality in the sciences. Oxford: Oxford University Press.Google Scholar
  18. Kistler, M. (2009). Mechanisms and downward causation. Philosophical Psychology, 22(5), 595–609.CrossRefGoogle Scholar
  19. Leuridan, B. (2012). Three problems for the mutual manipulability account of constitutive relevance in mechanisms. British Journal for the Philosophy of Science, 63(2), 399–427.CrossRefGoogle Scholar
  20. Machamer, P., Darden, L., & Craver, C. (2000). Thinking about mechanisms. Philosophy of Science, 67(1), 1–25.CrossRefGoogle Scholar
  21. Pearl, J. (2000). Causality (1st ed.). Cambridge: Cambridge University Press.Google Scholar
  22. Ramsey, J., Gazis, P., Roush, T., Spirtes, P., & Glymour, C. (2002). Automated remote sensing with near infrared reflectance spectra: Carbonate recognition. Data Mining and Knowledge Discovery, 6(3), 277–293.CrossRefGoogle Scholar
  23. Reichenbach, H. (1956). The direction of time. Berkeley: University of California.Google Scholar
  24. Richardson, T. (1996). A discovery algorithm for directed cyclic graphs. In Uai’96 (pp. 454–461). San Francisco, CA: Morgan Kaufmann.Google Scholar
  25. Romero, F. (2015). Why there isn’t inter-level causation in mechanisms. Synthese, 192(11), 3731–3755.CrossRefGoogle Scholar
  26. Schurz, G., & Gebharter, A. (2016). Causality as a theoretical concept: Explanatory warrant and empirical content of the theory of causal nets. Synthese, 193(4), 1073–1103.Google Scholar
  27. Silva, R., Scheines, R., Glymour, C, & Spirtes, P. (2006). Learning the structure of linear latent variable models. Journal of Machine Learning Research, 7, 191–246.Google Scholar
  28. Soom, P. (2012). Mechanisms, determination and the metaphysics of neuro-science. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 43(3), 655–664.CrossRefGoogle Scholar
  29. Spirtes, P., Glymour, C., & Schemes, R. (2000). Causation, prediction, and search (2nd ed.). Cambridge: MIT Press.Google Scholar
  30. Woodward, J. (2003). Making things happen. Oxford: Oxford University Press.Google Scholar
  31. Woodward, J. (2015). Interventionism and causal exclusion. Philosophy and Phenomenological Research, 91(2), 303–347.CrossRefGoogle Scholar
  32. Zhang, J., & Spirtes, P. (2008). Detection of unfaithfulness and robust causal inference. Minds and Machines, 18(2), 239–271.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Düsseldorf Center for Logic and Philosophy of Science (DCLPS)University of DüsseldorfDüsseldorfGermany

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