Abstract
There is growing evidence that plants possess abilities associated with cognition, such as decision-making, anticipation and learning. And yet, the cognitive status of plants continues to be contested. Among the threats to plant cognitive status is the ‘Representation Demarcation Challenge’ which points to the absence of a seemingly defining aspect of cognition, namely, computation over representation with non-derived content. Defenders of plant cognition may appeal to post-cognitivist perspectives, such as enactivism, which challenge the assumptions of the Representation Demarcation Challenge. This points to an impasse in the debate over plant cognition as it collapses into perennial disagreements over the best way to conceptualise the very nature of cognition. I propose a path that allows us to bypass this quagmire by reconceiving the question of what is cognitive about ‘plant cognition’ in terms of a quest to map the many possible adaptive capacities and behaviours more-or-less associated with cognition, alongside their underlying processes and mechanisms. In turn, we can examine the degrees of similarity between plants and more paradigmatically cognitive creatures. The ‘piecemeal approach’ thus shifts attention away from the abstract and dichotomous question of whether plants are cognitive and towards a series of more precise questions about the many ways and extent to which plants possess features associated with cognition. Ultimately, I suggest, the value of viewing plants through a cognitive lens may lie less in determining whether they are bona fide cognitive creatures and more in guiding research into concrete abilities and their underlying causes.
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Notes
The value of two requiring two stimulations is likely that it ensures prey is large enough to warrant the energy expenditure of closing and/or it guards against accidental triggering by non-prey (false positives).
There are other contexts where ‘minimal’ does not imply a diminutive form, for example, in the context of ‘minimal model’ explanations (Batterman, 2014).
It is becoming common to talk of ‘basal cognition’, evading any unwelcome connotations of ‘minimal’ (e.g., Lyon et al., 2021). The comparative value of these terms needn’t worry us here.
Cognitivists are not committed to defending the RDC. For example, one might think cognitivism is our best theory for exemplary cases of cognition but grant the existence of non-orthodox cases that do not involve representation (see § 5 for related discussion).
One complication arising from these accounts is the role of representation in computation. Some proponents, including Piccinini (2020), hold that computation is not necessarily semantic (although see Maley, 2018), yet they maintain that neural computation does involve representation. Nevertheless, the non-semantic nature of computation at least opens the door for a theory in which cognition is computational but not representational (e.g., Dewhurst, 2018).
Of course, one might question the value of the behaviour/cognition distinction and some post-cognitivist perspectives appear to willingly reject it. However, it is not only cognitivists who castigate characterisations of cognition in terms of behaviour. Barandiaran and Moreno (2006) argue against ‘behavioristic characterizations’ in favour of an understanding, following an enactivist tradition, in terms of the adaptive-autonomy of nervous systems. Citing Searle’s (1980) Chinese Room thought experiment, the authors share the fear of conflating genuine cognition with its mere simulation at a behavioural level. See § 4 and § 5.3 for related discussion.
In some guises, the biogenic approach seems more concerned with constraints on empirically investigating cognition and less on the underlying character of cognition per se (though the former has implications for the latter). The hermeneutic challenges surrounding the biogenic approach needn’t preoccupy us here, however.
As the authors acknowledge, some enactivists remain sceptical of plant cognition (e.g., Froese and Di Paolo, 2011), so even from within this post-cognitivist framework there is room for disagreement about the boundaries of cognition.
I take it that some of the positions mentioned, such as that of Segundo-Ortin and Calvo (2019), can be reinterpreted through the lens of the piecemeal approach set out below. More generally, I take it that enactivists (alongside cognitivists) are not necessarily committed to cognition possessing a core, essence or mark as explored below. In any case, the appeal to particular post-cognitivist theories for redrawing the borders of cognition (in contrast to cognitivism) is illustrative as a contrast to the piecemeal approach.
The piecemeal approach is consistent with a rejection of the idea that cognition possesses a sufficiently robust core, mark or essence and is instead a graded notion, cluster concept or plurality of kinds. See § 5.2.
This is arguably what plant scientists studying ‘plant cognition’ are principally concerned with i.e., the sorts of capacities or behaviours and the kinds of processes or mechanisms that plants are capable of. Indeed, empirical investigations into cognitive or cognitive-like capacities, such as decision-making, and their mechanisms, such as neurotransmitters, do not depend on demonstrating that plants possess ‘cognition per se’. To this extent, the piecemeal approach reflects scientific practice. However, I make no claims about the presumably diverse views on plant cognition among the community of scientists studying ‘plant cognition’.
The concept of cognition has become more liberal over time (cf. Akagi, 2018); once restricted to abilities associated with deliberative thinking, capacities such as perception are now included. At first pass, those abilities associated with the more restricted notion are the more prototypically cognitive. Regardless, how to understand the centrality of an ability to the cluster concept comprising cognition (which I am not defending) is not essential for our discussion.
One way to understand the relative ease of establishing that some species is capable of associative learning versus causal cognition, theory of mind, mental time travel etc., is that associative learning is characterised by fewer dimensions, so recognising its presence of absence depends less ambiguously on similarity judgements.
References
Adams F, Aizawa K (2001) The bounds of cognition. Philosophical Psychol 14:43–64. https://doi.org/10.1080/09515080120033571
Adams F, Aizawa K (2010) Defending the bounds of cognition. In: Menary R (ed) The extended mind. MIT Press, Cambridge, MA, pp 67–80
Adams F (2010) Why we still need a mark of the cognitive. Cogn Syst Res 11(4):324–331. https://doi.org/10.1016/j.cogsys.2010.03.001
Adams FR (2018) Cognition wars. Stud Hist Philos Sci 68:20–30. https://doi.org/10.1016/j.shpsa.2017.11.007
Adams F, Aizawa K (2001) The bounds of cognition. Philos Psychol 114(1):43–64https://doi.org/10.1080/09515080120033571
Aizawa K (2017) Cognition and behavior. Synthese 194:4269–4288. https://doi.org/10.1007/s11229-014-0645-5
Aizawa K (2014a) The enactivist revolution. Avant 5(2):19–42. https://doi.org/10.12849/50202014.0109.0002
Aizawa K (2014b) Tough times to be talking systematicity. In Calvo P, Symons J (eds) The architecture of cognition: rethinking fodor and pylyshyn’s systematicity challenge. MIT Press, Cambridge, MA (pp. 77–100)
Akagi M (2018) Rethinking the problem of cognition. Synthese 195(8):3547–3570. https://doi.org/10.1007/s11229-017-1383-2
Allen C (2017) On (not) defining cognition. Synthese 194(11):4233–4249. https://doi.org/10.1007/s11229-017-1454-4
Baluška F, Mukherjee S, Ramakrishna A (eds) (2020) Neurotransmitters in Plant Signaling and Communication. Springer International Publishing. https://doi.org/10.1007/978-3-030-54478-2
Barandiaran X, Moreno A (2006) On what makes certain dynamical systems cognitive: a minimally cognitive organization program. Adapt Behav 14(2):171–185. https://doi.org/10.1177/105971230601400208
Batterman RW, Rice CC (2014) Minimal model explanations. Philos Sci 81(3):349–376. https://doi.org/10.1086/676677
Bassel GW (2018) Information processing and distributed computation in plant organs. Trends Plant Sci 23(11):994–1005. https://doi.org/10.1016/j.tplants.2018.08.006
Bechtel W, Abrahamsen A (2005) Explanation: A mechanist alternative. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421–441. https://doi.org/10.1016/j.shpsc.2005.03.010
Bechtel W, Richardson RC (2010) Discovering complexity: decomposition and localization as strategies in scientific research. The MIT Press, Cambridge
Brancazio N, Segundo-Ortin M, McGivern P (2020) Approaching minimal cognition: introduction to the special issue. Adapt Behav 28(6):401–405. https://doi.org/10.1177/1059712319891620
Brenner ED, Stahlberg R, Mancuso S, Vivanco J, Baluska F, Van Volkenburgh E (2006) Plant neurobiology: an integrated view of plant signaling. Trends Plant Sci 11(8):413–419. https://doi.org/10.1016/j.tplants.2006.06.009
Cahill JF, McNickle GG, Haag JJ, Lamb EG, Nyanumba SM, Clair CCS (2010) Plants integrate information about nutrients and neighbors. Science 328(5986):1657–1657. https://doi.org/10.1126/science.1189736
Call J, Tomasello M (2011) Does the chimpanzee have a theory of mind? 30 years later. In Sebastian Schleidgen, Michael Jungert, Robert Bauer, and Verena Sandow (Eds.) Human Nature and Self Design (pp. 83–96). Brill (Ebook). https://doi.org/10.30965/9783957438843_008
Calvo P (2016) The philosophy of plant neurobiology: a manifesto. Synthese 193(5):1323–1343. https://doi.org/10.1007/s11229-016-1040-1
Calvo P, Lawrence N (2022) Planta Sapiens: unmasking plant intelligence. The Bridge Street Press
Calvo P, Friston K (2017) Predicting green: really radical (plant) predictive processing. J Royal Soc Interface 14(131). https://doi.org/10.1098/rsif.2017.0096
Calvo P, Gagliano M, Souza GM, Trewavas A (2020) Plants are intelligent, here’s how. Ann Botany 125(1):11–28. https://doi.org/10.1093/aob/mcz155
Calvo P, Keijzer F (2009) Cognition in plants. In: Baluška F (ed) Plant-environment interactions: Signaling & communication in plants. Springer-Verlag, Berlin, pp 247–266
Calvo P, Trewavas A (2020) Physiology and the (Neuro)biology of Plant Behavior: a Farewell to arms. Trends Plant Sci 25(3):214–216. https://doi.org/10.1016/j.tplants.2019.12.016
Calvo P, Trewavas A (2021) Cognition and intelligence of green plants. Information for animal scientists. Biochem Biophys Res Commun 564:78–85. https://doi.org/10.1016/j.bbrc.2020.07.139
Canales J, Henriquez-Valencia C, Brauchi S (2018) The Integration of Electrical Signals Originating in the Root of Vascular Plants. Frontiers in Plant Science, 8. https://www.frontiersin.org/article/https://doi.org/10.3389/fpls.2017.02173
Carruthers P (2004) On being simple minded. Am Philos Q 41(3):205–220. https://www.jstor.org/stable/20010157
Ciszak M, Comparini D, Mazzolai B, Baluska F, Arecchi FT, Vicsek T, Mancuso S (2012) Swarming behavior in plant roots. PLoS ONE 7(1). https://doi.org/10.1371/journal.pone.0029759
Clark A, Chalmers D (1998) The extended mind. Analysis 58(1):7–19. https://doi.org/10.1093/analys/58.1.7
Craver C (2007) Explaining the brain: mechanisms and the mosaic unity of neuroscience. Oxford University Press
De Waal F (2016) Are we smart enough to know how smart animals are? WW Norton & Company
Dewhurst J (2018) Individuation without representation. Br J Philos Sci 69(1):103–116. https://doi.org/10.1093/bjps/axw018
Figdor C (2020) Beyond the human standard in the cognitive domain a reply to “Cognition beyond the human domain”(Angel Rodriguez’s review of pieces of mind OUP 2018). Philosophical Psychol 33(8):1204–1208. https://doi.org/10.1080/09515089.2020.1802707
Fodor JA (1975) The language of thought. Harvard University Press, Cambridge, MA
Fodor J, Pylyshyn Z (1988) Connectionism and cognitive architecture: a critical analysis. Cognition 28:3–71. https://doi.org/10.1016/0010-0277(88)90031-5
Froese T, Di Paolo EA (2011) The enactive approach: theoretical sketches from cell to society. Pragmat Cogn 19(1):1–36. https://doi.org/10.1075/pc.19.1.01fro
Gagliano M, Renton M, Depczynski M, Mancuso S (2014) Experience teaches plants to learn faster and forget slower in environments where it matters. Oecologia 175(1):63–72. https://doi.org/10.1007/s00442-013-2873-7
Gagliano M, Vyazovskiy VV, Borbély AA, Grimonprez M, Depczynski M (2016) Learning by association in plants. Sci Rep 6:38427
Gagliano M, Vyazovskiy VV, Borbély AA, Depczynski M, Radford B (2020) Comment on ‘Lack of evidence for associative learning in pea plants’. eLife, 9, e61141. https://doi.org/10.7554/eLife.61141
Garzon FC (2007) The Quest for Cognition in Plant Neurobiology. Plant Signal Behav 2(4):208–211. https://doi.org/10.4161/psb.2.4.4470
Glennan S (2002) Rethinking mechanistic explanation. Philos Sci 69(3):342–353. https://www.jstor.org/stable/10.1086/341857
Gorzelak MA, Asay AK, Pickles BJ, Simard SW (2015) Inter-plant communication through mycorrhizal networks mediates complex adaptive behaviour in plant communities. AoB plants, 7. https://doi.org/10.1093/aobpla/plv050
Hedrich R, Neher E (2018) Venus flytrap: how an excitable, carnivorous plant works. Trends Plant Sci 23(3):220–234. https://doi.org/10.1016/j.tplants.2017.12.004
Hiernaux Q (2021b) History and epistemology of plant behaviour: a pluralistic view? Synthese 198(4):3625–3650. https://doi.org/10.1007/s11229-019-02303-9
Huber AE, Bauerle TL (2016) Long-distance plant signaling pathways in response to multiple stressors: the gap in knowledge. J Exp Bot 67(7):2063–2079. https://doi.org/10.1093/jxb/erw099
Hutto DD, Myin E (2013) Radicalizing enactivism: Basic minds without content. MIT press, Cambrdige, MA
Johnson-Laird PN (1983). Mental Models. Towards a Cognitive Science of Language, inference and consciousness. Cambridge University Press, Cambridge
Kawano T, Bouteau F, Mancuso S (2012) Finding and defining the natural automata acting in living plants: toward the synthetic biology for robotics and informatics in vivo. Communicative & Integrative Biology 5(6):519–526. https://doi.org/10.4161/cib.21805
Kiverstein J, Sims M (2021) Is free-energy minimisation the mark of the cognitive? Biology & Philosophy 36(25). https://doi.org/10.1007/s10539-021-09788-0
Lyon P (2006) The biogenic approach to cognition. Cogn Process 7(1):11–29. https://doi.org/10.1007/s10339-005-0016-8
Lyon P (2020) Of what is “minimal cognition” the half-baked version? Adapt Behav 28(6):407–424. https://doi.org/10.1177/1059712319871360
Lyon P, Keijzer F, Arendt D, Levin M (2021) Reframing cognition: getting down to biological basics. Philosophical Traces of the Royal Society 376. https://doi.org/10.1098/rstb.2019.0750
Machamer P, Darden L, Craver C (2000) Thinking about mechanisms. Philos Sci 67(1):1–25. http://www.jstor.org/stable/188611
Maley CJ (2018) Toward analog neural computation. Mind Mach 28(1):77–91. https://doi.org/10.1007/s11023-017-9442-5
Maher C (2017) Plant minds: a philosophical defense. Routledge
Markel K (2020a) Lack of evidence for associative learning in pea plants. eLife 9:e57614. https://doi.org/10.7554/eLife.57614
Markel K (2020b) Response to comment on’ Lack of evidence for associative learning in pea plants’. ELife, 9. e61689. https://doi.org/10.7554/eLife.61689
Menary R (ed) (2010) The extended mind. MIT Press, Cambridge, MA
Meroz Y (2021) Plant tropisms as a window on plant computational processes. New Phytologist, 229(4), 1911–1916. https://doi.org/10.1111/nph.1709
Miguel-Tomé S, Llinás RR (2021) Broadening the definition of a nervous system to better understand the evolution of plants and animals. Plant Signaling & Behavior 1927562. https://doi.org/10.1080/15592324.2021.1927562
Newell A, Simon HA (1976) Computer Science as empirical Inquiry: symbols and search. Commun ACM 19(3):113–126. https://doi.org/10.1145/360018.360022
Novoplansky A (2016) Future perception in plants. Anticipation across disciplines. Cham, Springer, pp 57–70
Piccinini G (2020) Neurocognitive mechanisms: explaining Biological Cognition. Oxford University Press
Putnam H (1967) Psychophysical predicates. In: Capitan W, Merrill D (eds) Art, mind, and Religion. University of Pittsburgh Press, Pittsburgh, pp 37–48
Ramsey W (2017) Must cognition be representational? Synthese 194(11):4197–4214. https://doi.org/10.1007/s11229-014-0644-6
Riehl TE, Jaffe MJ (1984) Physiological studies on pea tendrils: XIV. Effects of Mechanical Perturbation, Light, and 2-Deoxy-d-Glucose on Callose Deposition and Tendril Coiling. Plant Physiol 75(3):679–687. https://doi.org/10.1104/pp.75.3.679
Rodriguez AG (2020) Pieces of mind: the proper domain of psychological predicates. Philosophical Psychol 33(8):1185–1203. https://doi.org/10.1080/09515089.2020.1802706
Schwartz A, Koller D (1986) Diurnal phototropism in solar tracking leaves of Lavatera cretica. Plant Physiol 80(3):778–781. https://doi.org/10.1104/pp.80.3.778
Schwitzgebel E (2020) Against the mind package view of minds: comments on Carrie Figdor’s Pieces of mind. Mind & Language 35(5):671–676. https://doi.org/10.1111/mila.12288
Searle J (1980) Minds, brains, and programs. Behav Brain Sci 3(3):417–424. https://doi.org/10.1017/S0140525X00005756
Segundo-Ortin M, Calvo P (2019) Are plants cognitive? A reply to Adams. Stud History Philos Sci Part A 73:64–71. https://doi.org/10.1016/j.shpsa.2018.12.001
Segundo-Ortin M, Calvo P, Silvertown J, Gordon DM (2022) Consciousness and cognition in plants. WIREs Cogn Sci 13(2): e1578. https://doi.org/10.1002/wcs.1578
Shannon C (1948) The mathematical theory of communication. Bell Syst Tech J 27(3):379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Shapiro JA (2007) Bacteria are small but not stupid: cognition, natural genetic engineering and socio-bacteriology. Stud Hist Philos Sci Part C 38(4):807–819. https://doi.org/10.1016/j.shpsc.2007.09.010
Silvertown J, Gordon DM (1989) A framework for plant behavior. Annu Rev Ecol Syst 20(1):349–366. https://doi.org/10.1146/annurev.es.20.110189.002025
Starzak TB, Gray RD (2021) Towards ending the animal cognition war: a three-dimensional model of causal cognition. Biol Philos 36(2):1–24. https://doi.org/10.1007/s10539-021-09779-1
Skyrms B (2010) Signals: evolution, learning and information. Oxford University Press, Oxford
Trewavas A (2014) Plant behaviour and intelligence. Oxford University Press
Vallverdú J, Castro O, Mayne R, Talanov M, Levin M, Baluška F, Gunji Y, Dussutour A, Zenil H, Adamatzky A (2018) Slime mould: the fundamental mechanisms of biological cognition. Bio Syst 165:57–70. https://doi.org/10.1016/j.biosystems.2017.12.011
Van Duijn M, Keijzer F, Franken D (2006) Principles of minimal cognition: casting cognition as sensorimotor coordination. Adapt Behav 14(2):157–170. https://doi.org/10.1177/105971230601400207
Van Regenmortel MH (2016) The metaphor that viruses are living is alive and well, but it is no more than a metaphor. Stud History Philos Sci Part C: Stud History Philos Biol Biomedical Sci 59:117–124. https://doi.org/10.1016/j.shpsc.2016.02.016
Varela FJ, Thompson E, Rosch E (1991) The embodied mind, revised edition: Cognitive Science and Human Experience. MIT Press, Cambridge, MA
Villalobos M, Dewhurst J (2018) Enactive autonomy in computational systems. Synthese 195(5):1891–1908. https://doi.org/10.1007/s11229-017-1386-z
Villarreal LP (2004) Are viruses alive? Sci Am 291(6):100–105. https://www.jstor.org/stable/26060805
Wudick MM, Michard E, Oliveira Nunes C, Feijó JA (2018) Comparing plant and animal glutamate receptors: common traits but different fates? J Exp Bot 69(17):4151–4163. https://doi.org/10.1093/jxb/ery153
Yan X, Wang Z, Huang L, Wang C, Hou R, Xu Z, Qiao X (2009) Research progress on electrical signals in higher plants. Prog Nat Sci 19(5):531–541. https://doi.org/10.1016/j.pnsc.2008.08.009
Acknowledgements
The author would like to thank Paco Calvo, Becky Millar and Joe Dewhurst for their helpful comments on an earlier draft.
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This research was supported by a Juan de la Cierva Fellowship from Ministerio de Ciencia e Innovación del Gobierno de España (Award # FJC2019-041071-I).
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Lee, J. What is cognitive about ‘plant cognition’?. Biol Philos 38, 18 (2023). https://doi.org/10.1007/s10539-023-09907-z
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DOI: https://doi.org/10.1007/s10539-023-09907-z