Hostname: page-component-cd9895bd7-jkksz Total loading time: 0 Render date: 2024-12-26T16:21:20.489Z Has data issue: false hasContentIssue false

On the Incompatibility of Dynamical Biological Mechanisms and Causal Graphs

Published online by Cambridge University Press:  01 January 2022

Abstract

I examine to what extent accounts of mechanisms based on formal interventionist theories of causality can adequately represent biological mechanisms with complex dynamics. Using a differential equation model for a circadian clock mechanism as an example, I first show that there exists an iterative solution that can be interpreted as a structural causal model. Thus, in principle, it is possible to integrate causal difference-making information with dynamical information. However, the differential equation model itself lacks the right modularity properties for a full integration. A formal mechanistic model will therefore have to leave out either noncausal or causal explanatory relations.

Type
Adequacy of Causal Graphs and Bayes Networks
Copyright
Copyright © The Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

I wish to thank in particular Marie Kaiser, Lorenzo Casini, Alexander Gebharter, Naftali Weinberger, the audience at the PSA 2014 symposium “How Adequate Are Causal Graphs and Bayesian Networks for Modeling Biological Mechanisms?,” and the anonymous reviewers for many helpful suggestions and criticism. Versions of this paper were also presented at the Department of Philosophy, University of Neuchâtel, the Institute of Philosophy, Leibniz-University Hannover, the Biology Club, University of Fribourg, and the EPSA 2015 meeting in Düsseldorf.

References

Bechtel, William. 2013. “From Molecules to Networks: Adoption of Systems Approaches in Circadian Rhythm Research.” In New Challenges to Philosophy of Science, ed. Andersen, Hanne, Dieks, Dennis, Gonzalez, Wenceslao J., Uebel, Thomas, and Wheeler, Gregory, 241–61. Berlin: Springer.CrossRefGoogle Scholar
Bechtel, William, and Abrahamsen, Adele. 2010. “Dynamic Mechanistic Explanation: Computational Modeling of Circadian Rhythms as an Exemplar for Cognitive Science.” Studies in History and Philosophy of Science Part A 41:321–33.CrossRefGoogle ScholarPubMed
Cartwright, Nancy. 2001. “Modularity: It Can—and Generally Does—Fail.” In Stochastic Causality, ed. Galavotti, Maria Carla, Suppes, Patrick, and Costantini, Domenico, 6585. Chicago: University of Chicago Press.Google Scholar
Casini, Lorenzo. 2016. “How to Model Mechanistic Hierarchies.” Philosophy of Science, in this issue.CrossRefGoogle Scholar
Casini, Lorenzo, Illari, Phyllis McKay, Russo, Federica, and Williamson, Jon. 2011. “Models for Prediction, Explanation and Control: Recursive Bayesian Networks.” Theoria. An International Journal for Theory, History and Foundations of Science 70 (1): 533.Google Scholar
Clarke, Brendan, Leuridan, Bert, and Williamson, Jon. 2014. “Modelling Mechanisms with Causal Cycles.” Synthese 191:1651–81.CrossRefGoogle Scholar
Correia, Fabrice, and Schnieder, Benjamin. 2012. “Grounding: An Opinionated Introduction.” In Metaphysical Grounding: Understanding the Structure of Reality, ed. Correia, Fabrice and Schnieder, Benjamin, 136. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Craver, Carl. 2007. “Constitutive Explanatory Relevance.” Journal of Philosophical Research 32:320.CrossRefGoogle Scholar
Gebharter, Alexander. 2014. “A Formal Framework for Representing Mechanisms?Philosophy of Science 81:138–53.CrossRefGoogle Scholar
Gebharter, Alexander, and Kaiser, Marie I.. 2014. “Causal Graphs and Biological Mechanisms.” In Explanation in the Special Sciences: The Case of Biology and History, ed. Kaiser, Marie I., Scholl, O., Plenge, D., and Hüttemann, A.. Berlin: Springer.Google Scholar
Gebharter, Alexander, and Schurz, Gerhard. 2016. “A Modeling Approach for Mechanisms Featuring Causal Cycles.” Philosophy of Science, in this issue.CrossRefGoogle Scholar
Glennan, Stuart S. 1996. “Mechanisms and the Nature of Causation.” Erkenntnis 44:4971.CrossRefGoogle Scholar
Goldbeter, Albert. 1995. “A Model for Circadian Oscillations in the Drosophila Period Protein (PER).” Proceedings of the Royal Society of London B: Biological Sciences 261 (1362): 319–24.Google Scholar
Iwasaki, Yumi, and Simon, Herbert A.. 1994. “Causality and Model Abstraction.” Artificial Intelligence 67:143–94.CrossRefGoogle Scholar
Kaiser, Marie I. 2016. “On the Limits of Causal Modeling: Spatially-Structurally Complex Biological Phenomena.” Philosophy of Science, in this issue.CrossRefGoogle Scholar
Kistler, Max. 2013. “The Interventionist Account of Causation and Non-causal Association Laws.” Erkenntnis 78:120.CrossRefGoogle Scholar
Kuorikoski, Jaakko. 2012. “Mechanisms, Modularity and Constitutive Explanation.” Erkenntnis 77:361–80.CrossRefGoogle Scholar
Machamer, Peter, Darden, Lindley, and Craver, Carl. 2000. “Thinking about Mechanisms.” Philosophy of Science 67 (1): 125.CrossRefGoogle Scholar
Mitchell, Sandra D. 2009. Unsimple Truths: Science, Complexity, and Policy. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Mooji, Joris M., Janzing, Dominik, and Schölkopf, Bernhard. 2013. “From Ordinary Differential Equations to Structural Causal Models: The Deterministic Case.” arXiv: 1304.7920.Google Scholar
Pearl, Judea. 2000. Causality: Models, Reasoning, and Inference. Cambridge: Cambridge University Press.Google Scholar
Weber, Marcel. 2005. Philosophy of Experimental Biology. Cambridge: Cambridge University Press.Google Scholar
Weber, Marcel 2008. “Causes without Mechanisms: Experimental Regularities, Physical Laws, and Neuroscientific Explanation.” Philosophy of Science 75:9951007.CrossRefGoogle Scholar
Wimsatt, William C. 1976. “Reductive Explanation: A Functional Account.” In PSA 1974 (Proceedings of the 1974 Biennial Meeting, Philosophy of Science Association), ed. Cohen, R. S., Hooker, C. A., Michalos, A. C., and van Evra, J. W., 671710. Dordrecht: Reidel.Google Scholar
Woodward, James. 2003. Making Things Happen: A Theory of Causal Explanation. Oxford: Oxford University Press.Google Scholar
Woodward, James 2013. “Mechanistic Explanation: Its Scope and Limits.” Proceedings of the Aristotelian Society Supplementary Volume 87 (1): 3965.CrossRefGoogle Scholar