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A Formal Framework for Representing Mechanisms?

Published online by Cambridge University Press:  01 January 2022

Alexander Gebharter
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Abstract

In this article I tackle the question of how the hierarchical order of mechanisms can be represented within a causal graph framework. I illustrate an answer to this question proposed by Casini, Illari, Russo, and Williamson and provide an example that their formalism does not support two important features of nested mechanisms: (i) a mechanism’s submechanisms are typically causally interacting with other parts of said mechanism, and (ii) intervening in some of a mechanism’s parts should have some influence on the phenomena the mechanism brings about. Finally, I sketch an alternative approach taking (i) and (ii) into account.

Type
Research Article
Information
Philosophy of Science , Volume 81 , Issue 1 , January 2014 , pp. 138 - 153
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

†

This work was supported by Deutsche Forschungsgemeinschaft (DFG), research unit Causation | Laws | Dispositions | Explanation (FOR 1063). My thanks go to Lorenzo Casini, Stuart Glennan, Jens Harbecke, Phyllis McKay Illari, Marie I. Kaiser, Gerhard Schurz, Paul Thorn, Matthias Unterhuber, Ioannis Votsis, and Jon Williamson for their input and important discussions. Thanks also to Christian J. Feldbacher, Sebastian Maaß, Alexander G. Mirnig, and Lucia M. Pichler as well as to two anonymous referees for constructive criticism on an earlier version of the article. An earlier version of this article won a best paper award at the 8th International Conference of the Association for Analytic Philosophy (GAP.8).

References

Bechtel, William. 2007. “Reducing Psychology While Maintaining Its Autonomy via Mechanistic Explanations.” In The Matter of the Mind: Philosophical Essays on Psychology, Neuroscience and Reduction, ed. Shouten, Maurice and de Jong, Hoib Lorren, 172–98. Oxford: Blackwell.Google Scholar
Bechtel, William, and Abrahamsen, Adele. 2005. “Explanation: A Mechanist Alternative.” Studies in History and Philosophy of the Biological and Biomedical Sciences 36:421–41.CrossRefGoogle ScholarPubMed
Casini, Lorenzo, Illari, Phyllis McKay, Russo, Federica, and Williamson, Jon. 2011. “Models for Prediction, Explanation and Control: Recursive Bayesian Networks.” Theoria 70:5–33.Google Scholar
Craver, Carl. 2007a. “Constitutive Explanatory Relevance.” Journal for Philosophical Research 32:3–20.CrossRefGoogle Scholar
Craver, Carl 2007b. Explaining the Brain. Oxford: Clarendon.CrossRefGoogle Scholar
Eberhardt, Frederick, and Scheines, Richard. 2007. “Interventions and Causal Inference.” Philosophy of Science 74:981–95.CrossRefGoogle Scholar
Glennan, Stuart. 1996. “Mechanisms and the Nature of Causation.” Erkenntnis 44:49–71.CrossRefGoogle Scholar
Illari, Phyllis McKay, and Williamson, Jon. 2012. “What Is a Mechanism? Thinking about Mechanisms across the Sciences.” European Journal for the Philosophy of Science 2:119–35.CrossRefGoogle Scholar
Machamer, Peter, Darden, Lindley, and Craver, Carl. 2000. “Thinking about Mechanisms.” Philosophy of Science 67:1–25.CrossRefGoogle Scholar
Pearl, Judea. 2009. Causality. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Reichenbach, Hans. 1956. The Direction of Time. Berkeley: University of California Press.CrossRefGoogle Scholar
Salmon, Wesley. 1984. Scientific Explanation and the Causal Structure of the World. Princeton, NJ: Princeton University Press.Google Scholar
Spirtes, Peter, Glymour, Clark, and Scheines, Richard. 2000. Causation, Prediction, and Search. Cambridge, MA: MIT Press.Google Scholar
Steel, Daniel. 2005. “Indeterminism and the Causal Markov Condition.” British Journal for the Philosophy of Science 56:3–26.CrossRefGoogle Scholar
Williamson, Jon, and Gabbay, Dov. 2005. “Recursive Causality in Bayesian Networks and Self-Fibring Networks.” In Laws and Models in the Sciences, ed. Gillies, Donald, 223–45. London: King’s College.Google Scholar
Woodward, James. 2003. Making Things Happen. Oxford: Oxford University Press.Google Scholar
Woodward, James 2011. “Scientific Explanation.” In Stanford Encyclopedia of Philosophy, ed. Zalta, Edward N.. Stanford, CA: Stanford University. http://plato.stanford.edu/archives/win2011/entries/scientific-explanation/.Google Scholar