Abstract
Mechanistic approaches are very common in the causal interpretation of biological and neuroscientific experimental work in today’s philosophy of science. In the mechanistic literature a strict distinction is often made between (intralevel) causal relations and (interlevel) constitutive relations, where the latter cannot be causal. One of the typical reasons for this strict distinction is that constitutive relations are supposedly synchronic whereas most if not all causal relations are diachronic. This strict distinction gives rise to a number of problems, however. Our end goal in this paper is to argue that it should be given up, at least in the context of the biological and the psychological sciences. To that effect, we argue that constitutive relations in this context are diachronic, thus undermining the aforementioned reason. We offer two cases from scientific practice in which constitutive relations are regarded as both diachronic and causally efficacious, review three existing ways of dealing with the apparent diachronic nature of interlevel relations in mechanisms and propose a new account of diachronic, causal constitutive relevance.
Similar content being viewed by others
Notes
Craver explicitly commits to constitutive relationships being symmetrical, which may lead to problems for his account. This has already been addressed by Samuel Schindler (2013). According to Kistler (2009, pp. 603–604), this symmetry seems to imply that Craver and Bechtel believe constitution to be an identity relation. Rea (1997) and Kistler (2009) explicitly doubt that constitutive relations are identity relations and believe constitution to be an asymmetrical relation. Kirchhoff (2015) acknowledges symmetry but similarly argues against a strict identity relation. See Sect. 7 for a more detailed discussion of the work of Kistler (2009) and Kirchhoff (2015). In this paper, we will leave the symmetry argument untouched.
Unless specified otherwise, the terms ‘component’ and ‘part’, though not strictly interchangeable, will be employed as such in this article.
It is often assumed that the common sense idea, that causes must precede their effects, is fairly widespread in the philosophical literature. A typology of causal accounts, as posited by Leuridan and Lodewyckx (2019), reveals however that the kind of ‘time-first’ accounts that support this common sense idea are more of an exception than a general rule. The currently leading accounts are almost invariably ‘time-independent’ and often make explicit room for cases involving instantaneous and/or backward causation, even though they acknowledge that in fact most causes precede their effects. Some influential theories by contrast demand causation itself to be completely instantaneous.
The term ‘etiological’ is adapted from Leuridan (2012), who uses it to distinguish etiological from interlevel interventions.
As one reviewer correctly remarked, Woodward’s framework is not intended to apply to models in which some variables are non-causally dependent on each other (see Woodward 2015: pp. 325–327, and the references in footnote 15). Yet the point of our paper, and to a certain extent of Leuridan (2012), is precisely to show that interlevel relations in mechanisms are causal after all. Hence the question whether Woodwardian interventionism is applicable to mechanistic interlevel relations should be bracketed here.
We are grateful to an anonymous reviewer for pressing us on this issue.
It is important to note that we do not intend to deliver an exhaustive argument to undermine this reason here. That would take another article.
Kim writes: “Event [x, P, t] exists just in case substance x has property P at time t” (Kim 1976: p. 9). Note that the notion of ‘event’ is compatible with the process-based view we will discuss further on (see Sect. 7.3 and 8). Note also that Lewis had his own theory of events. The differences between his account and Kim’s, however, do not matter for our purposes.
Lewis, in the quoted passage, merely talks about ‘nonimplication’. Craver writes that “in the constitutive relation, a token instance of the property is, in part, constituted by an instance of the property; as such, the tokening of is not logically independent of the tokening of.” (2007, p. 153, our emphasis) Hence we take it that it is logical implication which is at stake.
If we reach our intermediate goal, the double assumption which we started from in the current section, viz. that (1) the constitutive relation is synchronic and (2) that it makes sense to think of the constitutive relata as time-slices, should be given up. Giving up (1) only strengthens the arguments just presented. Giving up (2) does not undermine them.
Craver (2007, pp. 145–162) provides a detailed account of the different varieties of such experiments.
Craver and Bechtel (2007: pp. 556–562) analyze and explain away several cases of supposed bottom-up and top-down interlevel causation.
It may again be objected that we are misapplying Woodward’s framework. See the interesting work of, among others, Romero (2015), Baumgartner and Gebharter (2016) and Baumgartner and Casini (2017). These authors have criticized the application of Woodward’s interventionist framework in the context of mechanistic interlevel relations. These criticisms all share a crucial assumption, however, viz. that constitutive relevance is not causal. Therefore, their results by themselves cannot be used to undermine our argument. But if our proposal fails, this would add to the importance of their endeavour. See also footnote 6.
We acknowledge, as does Craver (2007: p. 103), that such experiments are much less clear in the real world. In the history of LTP research, it has been hard to determine which of the many interactions are relevant to the occurrence of LTP, making it difficult to perform the required ideal interventions.
Although the term is seldom used in biological research, it is generally agreed that a true equilibrium with respect to body core temperatures in homeothermic mammals is only attained when the heart ceases to function. In other words, only in death will biological systems ever reach a state of true thermal and mechanical equilibrium with the external environment.
Another interesting critique of the strict distinction between causal and constitutive relations which draws on the temporality of processes is given by Mc Manus (2012). Since he focuses on the subdomain of developmental biology, we will not review his arguments in detail here.
Edges in graph-theoretic network representations may denote different types of relations, yet in his discussion of mechanisms Bechtel treats them as causal (2017: p. 263).
There is a partly analogous phenomenon in the causal modelling literature. Suppose that (variable) X is a cause of (variable) Y. Whether X is a direct cause or an indirect cause of Y in a causal graph depends on which other variables besides X and Y are included. This relativity of the direct/indirect causation distinction is innocuous and does not conflict with the central manipulationist idea.
It deserves to be mentioned that Bechtel explicitly touches upon the problem of epiphenomenalism and claims that his graph theoretic account is not guilty of it (2017: p. 269–270). He offers three reasons. The first is that “the nodes in a network need not belong to a common level in any of the standard senses” (p. 270), such as levels of size, or levels of types of entity. Levels can only be distinguished locally, he adds, within a mechanism. Hence if a graph comprises several modules or mechanisms, one cannot treat its nodes as at a common level. That is true, but leaves our argument about Figs. 1 and 2 unaffected, as it does not hinge on the assumption that there is such an all-encompassing common level. Bechtel’s second and third reason we have already mentioned. These are that researchers can always choose for a finer-grained or a more coarse-grained level of description respectively. Again, that is true, but leaves our argument unaffected as well. It is precisely the (true) fact that researchers can switch between levels of description that (inadvertently) gives rise to said epiphenomenalism within Bechtel’s framework. That Bechtel opposes epiphenomenalism can also be seen in his work with Jason Winning, in which he defends emergent causal powers. Although the constraint relation itself is not causal, it does “enable objects to have novel, emergent behaviors, this is tantamount to the emergence of causal powers… The ways that mechanisms and their parts are constrained explains why both mechanisms and their components are intrinsically productive; by means of possessing such emergent powers, mechanisms and components causally produce the effects they do” (Winning and Bechtel 2018: p. 294).
We will use the term EIO from here on.
Objects are, for example, organisms, brains, cells, or ion channels. The objects engaged in constitutive-mechanistic phenomena typically have quite clear spatial boundaries (such as membranes) which allow a distinction between inside and outside (see Kaiser 2015). The notion of an object is also supposed to refer to systems. Systems are typically composed of more than one object and most biological systems—such as gene regulatory networks, the immune system, populations, or ecosystems—have less clear spatial boundaries than objects (Kaiser and Krickel 2017: p. 768).
We will leave out explicit reference to the activities (-ing and -ing) in question, but only in the interest of readability. Hence S and the Xi are not to be taken as objects or entities. They are entity-involving occurrences.
We leave it an open question whether the relation between an EIO at t1 and that same EIO at t2 is a causal relation or some other form of co-determination.
Seibt’s general process mereology is not based on spatio-temporal inclusion. See below.
It should be noted that an emphasis on temporal unfolding is present in part of the mechanistic literature. Machamer et al. (2000), for example, seem to agree with such a process-based view of mechanisms, especially within a biological context:
Often, mechanisms are continuous processes that may be treated for convenience as a series of discrete stages or steps. […] Although we may describe or represent these intermediate activities as stages in the operation of the mechanism, they are more accurately viewed as continuous processes (Machamer et al. 2000: pp. 12–13).
Kirchhoff fails to mention this trend in the mechanistic literature. Still, he is right in asserting that the processual nature of mechanistic activities has not yet been sufficiently accounted for and that the standard notion of synchronic constitution is inappropriate when it comes to biological processes. (We would like to thank an anonymous reviewer for pressing us on this issue.)
Another scholar who has stressed the importance of processes in biological science, albeit in opposition to the notion of mechanism, is John Dupré (2012).
Kirchhoff supplies several real-world examples, e.g. a Watt generator, a Mexican wave or convection rolls, to illustrate his diachronic process constitution, but does not offer detailed accounts of empirical case studies.
Beholden to enactivism and the Extended Cognition thesis in which brain, body and environment are thought of as dynamically coupled in a cognitive system, Kirchhoff challenges the causal-constitutive fallacy, a common objection against Extended Cognition by Adams and Aizawa (2008). Note that Adams and Aizawa’s criticism would be undermined if we reach our end goal. Note also that Kirchhoff seems to acknowledge that his conception could also be relevant outside of EC (2015: abstract).
Several adherents to EC, including Vernon et al. (2015), defend continuous reciprocal causation, or CRC, which involves multiple simultaneous interactions and complex feedback loops between causes and their effects.
Take for example our Vernon et al. case. It is theoretically possible for the perceptuo-motor coupling to stay active in some instinctive manner, after higher-level cognition is shut down.
We would like to thank an anonymous reviewer for flagging the two criticisms to be discussed.
Note that this delay between the intervention and the effect on the spatial tasks is different from both the problem of the etiological nature of experimental apparatus and the problem of causal-constitutive propagation discussed by Leuridan (2012, §11).
Note that in this case, synchronic causality may still be considered a possibility in the framework of Woodwardian interventionism. Of course, strictly following the processual point of view defended by Seibt, who defines causality following Salmon (1994), this would be impossible.
We would like to thank the reviewer in question for pressing us on this issue. In our discussion we will leave it an open question whether addiction is a brain disease, although empirical evidence strongly supports the hypothesis that it is—at least in part. Yet we will assume that if it is constituted by changes in the brain, the constitutive relevance relations in question are within the scope of our proposal and hence causal. Otherwise, the reviewer’s worry would not apply.
References
Adams, F., & Aizawa, K. (2008). The bounds of cognition. New York: Blackwell Publishing.
Baumgartner, M., & Casini, L. (2017). An abductive theory of constitution. Philosophy of Science, 84(2), 214–233.
Baumgartner, M., & Gebharter, A. (2016). Constitutive relevance, mutual manipulability, and fat-handedness. The British Journal for the Philosophy of Science, 67(3), 731–756.
Bechtel, W. (2004). The epistemology of evidence in cognitive neuroscience. In R. Skipper Jr., et al. (Eds.), Philosophy and the life sciences. Cambridge: MIT Press.
Bechtel, W. (2017). Explicating top-down causation using networks and dynamics. Philosophy of Science, 84, 253–274.
Bechtel, W., & Abrahamsen, A. (2005). Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421–441.
Beebee, H. (2004). Causing and nothingness. In J. Collins, N. Hall, & L. Paul (Eds.), Causation and Counterfactuals (pp. 291–308). Cambridge: MIT Press.
Bremner, D. (2006). Traumatic stress: Effects on the brain. Dialogues in Clinical Neuroscience, 8(4), 445–461.
Craver, C. (2007). Explaining the brain: Mechanisms and the mosaic unity of neuroscience. Oxford: Oxford University Press.
Craver, C., & Bechtel, W. (2007). Top-down causation without top-down causes. Biology and Philosophy, 22, 547–563.
Dowe, P. (2000). Physical causation. Cambridge: Cambridge University Press.
Dupré, J. (2012). Processes of life: Essays in the philosophy of biology. Oxford: Oxford University Press.
Eronen, M. (2013). No levels, no problems: Downward causation in neuroscience. Philosophy of Science, 80(5), 1042–1052.
Franklin-Hall, L. R. (2016). New Mechanistic Explanation and the Need for Explanatory Constraints. In K. Aizawa & C. Gillett (Eds.), Scientific composition and metaphysical ground (pp. 41–74). London: Palgrave Macmillan.
Glennan, S. (1996). Mechanisms and the nature of causation. Erkenntnis, 44, 49–71.
Glennan, S. (2002). Rethinking mechanistic explanation. Philosophy of Science, 69(Proceedings, S3), S342–S353.
Han, W., Tellez, L., Rangel, M., Shammah-Lagnado, S., van den Pol, A., & de Araujo, I. (2017). Integrated control of predatory hunting by the central nucleus of the amygdala. Cell, 168, 311–324.
Hofweber, T., & Velleman, D. (2011). How to endure. The Philosophical Quarterly, 61(242), 37–57.
Huemer, M., & Kovitz, B. (2003). Causation as simultaneous and continuous. The Philosophical Quarterly, 53(213), 556–565.
Illari, P., & Williamson, J. (2012). What is a mechanism? Thinking about mechanisms across the sciences. European Journal for Philosophy of Science, 2(1), 119–135.
Kaiser, M. (2015). Reductive explanation in the biological sciences. Dordrecht: Springer.
Kaiser, M., & Krickel, B. (2017). The metaphysics of constitutive mechanistic phenomena. The British Journal for the Philosophy of Science, 68(3), 745–779.
Kandel, E. (2000). Cellular mechanisms of learning and the biological basis of individuality. In E. R. Kandel, J. H. Schwartz, & T. M. Jessell (Eds.), Principles of neural science (pp. 1247–1279). New York: Eleviser.
Kandel, E. (2013). The new science of mind and the future of knowledge. Neuron, 80, 546–560.
Kim, J. (1976). Events as property exemplifications. In J. Kim (Ed.), Supervenience and mind (pp. 33–52). Cambridge: Cambridge University Press.
Kirchhoff, M. (2015). Extended cognition and the causal-constitutive fallacy. In search for a diachronic and dynamical conception of constitution. Philosophy and Phenomenological Research, 90(2), 320–360.
Kistler, M. (2009). Mechanisms and downward causation. Philosophical Psychology, 22(5), 595–609.
Kistler, M. (2010). Causation across levels, constitution, and constraint. In M. Suárez, M. Dorato, & M. Rédei (Eds.), EPSA philosophical issues in the sciences (pp. 141–151). Berlin: Springer.
Krickel, B. (2017). Making sense of interlevel causation in mechanisms from a metaphysical perspective. Journal for General Philosophy of Science, 48, 453–468.
Krickel, B. (2018a). Saving the mutual manipulability account of constitutive relevance. Studies in History and Philosophy of Science: Part A, 68, 58–67.
Krickel, B. (2018b). The mechanical world. The metaphysical commitments of the new mechanistic approach. Cham: Springer.
Leuridan, B. (2010). Can mechanisms really replace laws of nature? Philosophy of Science, 77(3), 317–340.
Leuridan, B. (2012). Three problems for the mutual manipulability account of constitutive relevance in mechanisms. The British Journal for the Philosophy of Science, 63(2), 399–427.
Leuridan, B., & Lodewyckx, T. (2019). Causality and time: An introductory typology. In S. Kleinberg (Ed.), Time and causality across the sciences. Cambridge: Cambridge University Press.
Lewis, D. (2000). Causation as Influence. In J. Collins, N. Hall, & L. Paul (Eds.), Causation and counterfactuals (Vol. 97, pp. 182–197). Cambridge: The MIT Press.
Li, Y., Chen, F., & Huang, W. (2016). Neural plasticity following abacus training in humans: A review and future directions. Neural Plasticity, 2016, 1–9.
Machamer, P., Darden, L., & Craver, C. (2000). Thinking about Mechanisms. Philosophy of Science, 67(1), 1–25.
Mayford, M., Bach, M., Huang, Y., Wang, L., Hawkins, R., & Kandel, E. (1996). Control of memory formation through regulated expression of a CaMKII transgene. Science, 274, 1678–1683.
Mc Manus, F. (2012). Development and mechanistic explanation. Studies in the History and Philosophy of Biology and Biomedical Sciences, 43, 532–541.
Potochnik, A. (forthcoming). Our World Isn’t Organized into Levels, forthcoming in a collection on the Altenberg Workshop on Hierarchy and Levels of Organization, KLI, under contract with MIT Press.
Potochnik, A., & McGill, B. (2012). The limitations of hierarchical organization. Philosophy of Science, 79(1), 120–140.
Putri, L., & Kurniawan, Y. (2016). The effect of thought stop** therapy on the blood and pulse pressures as an anxiety indicator of injections. International Journal of Tropical Medicine, 11(6), 220–225.
Rea, M. (1997). Material constitution. Lanham, MD: Rowman & Littlefield.
Recordati, G., & Bellini, T. (2003). A definition of internal constancy and homeostasis in the context of non-equilibrium thermodynamics. Experimental Physiology, 89(1), 27–38.
Reichenbach, H. (1956/1971) The direction of time. University of California Press, Berkeley.
Rizzolatti, G., & Craighero, L. (2004). The mirror neuron system. Annual Review of Physiology, 27, 169–192.
Rizzolatti, G., & Fadiga, L. (1998). Gras** objects and gras** action meanings: the dual role of monkey rostroventral premotor cortex (area F5). In G. R. Bock & J. A. Goode (Eds.), Sensory guidance of movement novartis foundation symposium (Vol. 218, pp. 81–103). Chichester: Wiley.
Rizzolatti, G., Fadiga, L., Gallese, V., & Fogassi, L. (1996). Premotor cortex and the recognition of motor actions. Cognitive Brain Research, 3, 131–141.
Romero, F. (2015). Why there isn’t inter-level causation in mechanisms. Synthese, 192(11), 3731–3755.
Salmon, W. (1994). Causality without counterfactuals. Philosophy of Science, 61(2), 297–312.
Schindler, S. (2013). Mechanistic explanation: Asymmetry lost. In V. Karakostas & D. Dieks (Eds.), Recent progress in philosophy of science: Perspectives and foundational problems. The third European philosophy of science association proceedings (pp. 81–91). Dordrecht: Springer.
Seibt, J. (2009). Forms of emergent interaction in general process theory. Synthese, 166, 479–512.
Skyrms, B. (1980). Causal necessity. New Haven: Yale University Press.
Squire, L. R., & Kandel, E. R. (2000). Memory: From mind to molecules. New York: Scientific American Library.
Thill, S., Caligiore, D., Borghi, A., Ziemke, T., & Baldassarre, G. (2013). Theories and computational models of affordance and mirror systems: An integrative review. Neuroscience and Biobehavioral Reviews, 37, 491–521.
Vernon, D., Lowe, R., Thill, S., & Ziemke, T. (2015). Embodied cognition and circular causality: On the role of constitutive autonomy in the reciprocal coupling of perception and action. Frontiers in Psychology, 6(1660), 1–9.
Winning, J., & Bechtel, W. (2018). Rethinking causality in biological and neural mechanisms: Constraints and control. Minds and Machines, 28, 287–310.
Woodward, J. (2003). Making things happen. Oxford: Oxford University Press.
Woodward, J. (2015). Interventionism and casual exclusion. Philosophy and Phenomenological Research, 91(2), 303–347.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
The research for this paper was supported by the Research Foundation Flanders (FWO), research Project G056616N.
Rights and permissions
About this article
Cite this article
Leuridan, B., Lodewyckx, T. Diachronic causal constitutive relations. Synthese 198, 9035–9065 (2021). https://doi.org/10.1007/s11229-020-02616-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11229-020-02616-0