In preparation for writing the 'psychology and complexity' for my forthcoming book with Lasse Gerrits, The Atlas of Social Complexity, I have once again delved into the deep end of the pool on modularity of mind and its links to human evolution.
Modularity Ain't Rev-Evolutionary
Colombo, in an interesting article, Moving forward (and beyond) the modularity debate: A network perspective (2013), nicely sums the purported distinction between modularity and evolutionary psychology:
"At least since Fodor’s 1983 (The Modularity of Mind), the notion of modularity has been one of the most important concepts used to articulate an account of the human cognitive architecture, which provides us with an encompassing theory (a “blueprint”) of the nature, arrangement, and form of the structures and processes that are responsible for cognition and adaptive behavior. This should be distinguished from a theory of the origins of cognitive architectures, which is concerned with the evolutionary and developmental history of the structures and processes that are responsible for cognition and adaptive behavior."
An easy example that makes these differences clear is Chomsky's famous language acquisition device and his agnostic-to-antagonistic views of evolutionary psychology and sociobiology. Massive pages of ink devoted to the complexities of language acquisition aside, Chomsky's basic point is that our brains seem to come ready made, in certain ways, to engage in language -- call it a set of modules if you will. As to how much evolution drives this ability, the answer is probably not as much as we think. We only need so much evolution to survive. While the human brain is a product of evolution, the resulting mind, in all of its massive complexity, is so much more than what we need to evolve and survive. Trying to retrospectively link each little thing we do, from painting a picture to nibbling our nails, to some evolutionary necessity in our past is pointless -- and now it seems, given the current state of the literature, mostly untenable.
Finding a middle ground
For me, modularity as a strong programme has always been underdetermined by the evidence, with its widespread acceptance appearing to be driven more by academic celebrity and its theoretical simplicity. Modularity as a weak theory has always held my interest, as complex systems are generally comprised of subsystems and lower orders of complexity, working top-down and bottom-up simultaneously, with command centres of limited ability and so forth. The embodied mind being comprised of modules -- that is, some complex network of functional subsystems (from our brains to our gut microbiota), with fuzzy organisational closure, for the purposes of completing a task outside conscious awareness -- just seems to make reasonable sense. Language acquisition, speech, motor function, paleomammalian emotions, microbiota-gut-brain axis, there is an endless list of things needing constant care and attention that our conscious, command-centre selves cannot effectively manage while writing sentences, eating toast and drinking our coffee in the morning.
Evolutionary psychology and sociobiology, however, and their just-so, reverse engineered usge of modularity -- in particular the massive modularity thesis -- have always seemed baffling. That is not to say that they don't have useful things to say, as they do. They just as often say things that are not useful. It is therefore exciting to see, fingers crossed, that the over-usage of modularity to support evolutionary psychology, as well as modularity in its strong form, are finally going the way of the dinosaurs. Or, at least, that is the sense I got from several recent articles. Here is a quick list:
Pietraszewski, D., & Wertz, A. (2021). Why evolutionary psychology should abandon modularity. Perspectives on Psychological Science, 2.
Palecek, M. (2017). Modularity of mind: Is it time to abandon this ship?. Philosophy of the Social Sciences, 47(2), 132-144.
Bertolero, M. A., & Bassett, D. S. (2020). On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists. Topics in Cognitive Science, 12(4), 1272-1293.
Sosis, R., & Kiper, J. (2014). Why religion is better conceived as a complex system than a norm-enforcing institution. Behavioral and Brain Sciences, 37(3), 275.
"Because of mere terminological disputes, because of vagueness surrounding putative central features of modularity such as functional specialization, domain speciﬁcity, and informational encapsulation, and especially because of little agreement about the proper empirical methods for discovering and justifying the existence of candidate modules (cf. the controversy around the cheater-detection module: e.g., Fodor 2000, 2008; Sperber and Girotto 2003; Cosmides and Tooby 2008a, 2008b), the modularity debate in the cognitive sciences and philosophy of psychology has often been frustratingly fruitless." (See Moving forward (and beyond) the modularity debate: A network perspective)
"The upshot of all of this back-and-forth is that both sides in this modularity debate feel as if the other is patently absurd in its convictions. Evolutionary psychologists cannot imagine what else could exist but functional specialization in the mind. Meanwhile, critics on the other side feel as if the bottom has been pulled out from their understanding of evolutionary psychology if it does not intend the attributes of modularity that it now seems to be backing away from. Both sides are left, understandably, exasperated and at a seeming impasse.The cost of this state of affairs cannot be over-stated. It has misled an entire generation of scientists about how to think about relationship between evolution and the mind, and it actively hinders progress in understanding how the mind works."
"Nothing in biology makes sense except in the light of evolution, and nothing about the human response to COVID-19 will either (p. 27768). Nothing!
Evolving forward -- Network and more networks!
|Image by Bertolero, M. A., & Bassett, D. S. (2020).|
What is replacing the "modularity or not" debate? That is not entirely clear, but one productive avenue is complex network modularity and, more generally, a complex systems modularity -- both of which have been around for a while and seem to be gaining ground. I cannot survey this research presently, except to offer a few articles to explore:
Zerilli, J. (2019). Neural reuse and the modularity of mind: where to next for modularity?. Biological Theory, 14(1), 1-20.
Newman, M. E. (2006). Modularity and community structure in networks. Proceedings of the national academy of sciences, 103(23), 8577-8582.
The other avenue would be to finally recognise that cognitive science is complexity science and to search for ways to integrate the various ideas and empirical evidence using a complex systems framework. Examples of this view (of which network modality is a part) include embodied cognition, connectionism and ecological psychology, as well as as recasting cognition as complexity and challenging theoretical and methodlogical reductionism. Embodied mind resarch is very well known. The latter is a more general argument. See for example:
Favela, L. H. (2020). Cognitive science as complexity science. Wiley Interdisciplinary Reviews: Cognitive Science, 11(4), e1525.
Van Orden, G., & Stephen, D. G. (2012). Is cognitive science usefully cast as complexity science?. Topics in cognitive science, 4(1), 3-6.
The utility of these alternative framings come with their own intellectual traps. All scientific ideas do. They are at least more interesting then telling me:
"A key insight of evolutionary thinking is that—in contrast to the metaphor of the invisible hand—the pursuit of lower-level interests, such as short-term individual, corporate, partisan, or nationalistic interests, is far more likely to undermine than contribute to the global common good. . . . [As such,] treat differences in nation/state responses to COVID-19 as natural experiments in evolutionary processes by documenting different phylogenies of responses, measuring the efficacy of each, and then replicating successful approaches in necessary areas and future pandemics" (Seitz et al, p. 27772).
If this is a major observation from a field some fifty years in the making, I think it is time to move on.