Emotions as emergent properties




Dynamical systems theory

How to Cite

Walsh, E. (2023). Emotions as emergent properties. Philosophy and the Mind Sciences, 4. https://doi.org/10.33735/phimisci.2023.9965


In recent decades, affective scientists have begun using concepts and tools from dynamical systems theory (DST) to characterise emotional processes. This article considers how the concept of emergence might be used to develop this approach. Emotions are explicated as  ‘emergent products’ that diachronically constrain the operations of their parts in virtue of feedback loops (a classical feature of nonlinear dynamical systems). The explication is shown to be broadly consistent with what is sometimes called ‘pattern’ emergence. Casting emotions as emergent patterns is shown to shed light on a major conceptual and empirical challenge emotion theorists have faced over the past century: identifying and measuring the presence of emotional episodes (Lindquist et al., 2012; Hollenstein & Lanteigne, 2014), dubbed here the ‘boundary problem’ (following Colombetti, 2014). In particular, the explication suggests seeing the emotional ‘signatures’ thought to accompany emotional episodes as fragile and context-bound: likely to hold under a relevant class of interventions (Woodward, 2005), but not without exception beyond that class. This in turn may suggest a need to significantly revise the statistical methods currently used to measure the presence of emotional ‘signatures’. The casting of emotions as emergent patterns also functions as a further case study supporting the value of ‘pattern emergence’ (Winning & Bechtel, 2019) as a powerful vehicle for characterising the objects of investigation — compound and context-sensitive — ubiquitous in the biological sciences.



Anderson, K. B., & Graham, L. M. (2007). Hostile attribution bias. In R. F. Baumesiter & K. D. Vohs (Eds.), Encyclopedia of social psychology (pp. 445–446). SAGE Publications.

Barrett, L. F. (2006a). Are emotions natural kinds? Perspectives on Psychological Science, 1(28), 28–58. https://doi.org/10.1111j.1745-6916.2006.00003.x

Barrett, L. F. (2006b). Solving the emotion paradox: Categorization and the experience of emotion. Personality and Social Psychology Review, 10(1), 20–46. https://doi.org/10.1207/s15327957pspr1001_2

Barrett, L. F. (2009). The future of psychology: Connecting mind to brain. Perspectives on Psychological Science, 4(4), 326–339. https://doi.org/10.1111/j.1745-6924.2009.01134.x

Barrett, L. F. (2014). The Conceptual Act Model: A précis. Emotion Review, 6(4), 292–297. https://doi.org/10.1177/1754073914534479

Bechtel, W. (2017). Explicating top-down causation using networks and dynamics. Philosophy of Science, 84(2), 253–274. https://doi.org/10.1086/690718

Boyd, R. (1991). Realism, anti-foundationalism and the enthusiasm for natural kinds. Philosophical Studies, 61(1-2), 127–148. https://doi.org/10.1007/BF00385837

Bulteel, K. et al. (2014). DeCon: A tool to detect emotional concordance in multivariate time series data of emotional responding. Biological Psychology, 98, 29–42. https://doi.org/10.1016/j.biopsycho.2013.10.011

Chalmers, D. J. (2008). Strong and weak emergence. In P. Clayton & P. Davies (Eds.), The re-emergence of emergence (pp. 244–256). Oxford University Press.

Coan, J. A. (2010). Emergent ghosts of the emotion machine. Emotion Review, 2(3), 274–285. https://doi.org/10.1177/1754073910361978

Coan, J. A., & Gonzalez, M. Z. (2015). Emotions as emergent variables. In L. F. Barrett & J. A. Russell (Eds.), The psychological construction of emotion (pp. 209–225). The Guilford Press.

Colombetti, G. (2014). The feeling body: Affective science meets the enactive mind. MIT Press.

Craver, C., & Bechtel, W. (2007). Top-down causation without top-down causes. Biology & Philosophy, 22, 547–563. https://doi.org/10.1007/s10539-006-9028-8

Denson, T. F. (2013). The multiple systems model of angry rumination. Personality and Social Psychology Review: An Official Journal of the Society for Personality and Social Psychology, 17(2), 103–123. https://doi.org/10.1177/1088868312467086

Denson, T. F., Pedersen, W. C., Ronquillo, J., & Nandy, A. S. (2009). The angry brain: Neural correlates of anger, angry rumination, and aggressive personality. Journal of Cognitive Neuroscience, 21(4), 734–744. https://doi.org/10.1162/jocn.2009.21051

Dodge, K. A., & Somberg, D. R. (1987). Hostile attributional biases among aggressive boys are exacerbated under conditions of threats to the self. Child Development, 213–224. https://doi.org/10.2307/1130303

Dunn, B. D., Galton, H. C., Morgan, R., Evans, D., Oliver, C., Meyer, M., Cusack, R., Lawrence, A. D., & Dalgleish, T. (2010). Listening to your heart: How interoception shapes emotion experience and intuitive decision making. Psychological Science, 21(12), 1835–1844. https://doi.org/10.1177/0956797610389191

Ekman, P. (1973). Darwin and facial expression: A century of research in review. Academic Press.

Ekman, P. (1980). Biological and cultural contributions to body and facial movement in the expression of emotions. In A. O. Rorty (Ed.), Explaining emotions (pp. 73–102). University of California Press.

Ekman, P., Friesen, W. V., & Ellsworth, P. (1972). Emotion in the human face: Guidelines for research and an integration of findings. Pergamon Press.

Frijda, N. H. (1994). Varieties of affect: Emotions and episodes, moods, and sentiments. In P. Ekman & R. J. Davidson (Eds.), The nature of emotion. Fundamental questions (pp. 59–67). Oxford University Press.

Frijda, N. H., Mesquita, B., Sonnemans, J., & Goozen, S. van. (1991). The duration of affective phenomena or emotions, sentiments and passions. In K. T. Strongman (Ed.), International review of studies on emotion (pp. 187–225). Wiley.

Greenwood, J. (2015). Becoming human: The ontogenesis, metaphysics, and expression of human emotionality. MIT Press.

Guay, A., & Sartenaer, O. (2016). A new look at emergence. Or when after is different. European Journal for Philosophy of Science, 6, 297–322. https://doi.org/10.1007/s13194-016-0140-6

Haidt, J. (2001). The emotional dog and its rational tail: A social intuitionist approach to moral judgment. Psychological Review, 108(4), 814. https://doi.org/10.1037/0033-295X.108.4.814

Haidt, J. (2013). The righteous mind: Why good people are divided by politics and religion. Vintage.

Hardin, P. E., Hall, J. C., & Rosbash, M. (1990). Feedback of the Drosophila period gene product on circadian cycling of its messenger RNA levels. Nature, 343(6258), 536–540. https://doi.org/10.1038/343536a0

Hollenstein, T. (2015). This time, it’s real: Affective flexibility, time scales, feedback loops, and the regulation of emotion. Emotion Review, 7(4), 308–315. https://doi.org/10.1177/1754073915590621

Hollenstein, T., & Lanteigne, D. (2014). Models and methods of emotional concordance. Biological Psychology, 98, 1–5. https://doi.org/10.1016/j.biopsycho.2013.12.012

Hooker, C. (2013). On the import of constraints in complex dynamical systems. Foundations of Science, 18(4), 757–780. https://doi.org/10.1007/s10699-012-9304-9

Humphreys, P. (2008). Synchronic and diachronic emergence. Minds & Machines, 18, 431–442. https://doi.org/10.1007/s11023-008-9125-3

Humphreys, P. (2016). Emergence: A philosophical account. Oxford University Press.

Hutto, D. D., Robertson, I., & Kirchhoff, M. (2018). A new, better BET: Rescuing and revising basic emotion theory. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.01217

Hyde, J., Ryan, K. M., & Waters, A. M. (2019). Psychophysiological markers of fear and anxiety. Curr Psychiatry Rep, 21, 56. https://doi.org/10.1007/s11920-019-1036-x

Kuppens, P., & Verduyn, P. (2017). Emotion dynamics. Current Opinion in Psychology, 17, 22–26. https://doi.org/10.1016/j.copsyc.2017.06.004

Lazarus, R. S. (1968). Emotions and adaptation: Conceptual and empirical relations. Nebraska Symposium on Motivation, 16, 175–266.

Lench, H. C., Flores, S. A., & Bench, S. W. (2011). Discrete emotions predict changes in cognition, judgment, experience, behavior, and physiology: A meta-analysis of experimental emotion elicitations. Psychological Bulletin, 137, 834–855. https://doi.org/10.1037/a0024244

Lewis, M. D. (2005). Bridging emotion theory and neurobiology through dynamic systems modeling. Behavioral and Brain Sciences, 28(2), 169–194. https://doi.org/10.1017/S0140525X0500004X

Lewis, M. D., & Granic, I. (2000). Emotion, development, and self-organization: Dynamic systems approaches to emotional development. Cambridge University Press.

Lewis, M. D., & Liu, Z.-X. (2011). Three time scales of neural self-organization underlying basic and nonbasic emotions. Emotion Review, 3(4), 416–423. https://doi.org/10.1177/1754073911410748

Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012). The brain basis of emotion: A meta-analytic review. Behavioral and Brain Sciences, 35, 161–162. https://doi.org/10.1017/S0140525X11000446

Loaiza, J. R. (2021). Emotions and the problem of variability. Rev.Phil.Psych., 12, 329–351. https://doi.org/10.1007/s13164-020-00492-8

Lucky, C., Iyai, D., Stanley, C., & Humphrey, A. (2020). Stability and feedback control of nonlinear systems. International Journal of Control Science and Engineering, 10(1), 11–15. https://doi.org/10.5923/j.control.20201001.02

Marchand, W. R. (2010). Cortico-basal ganglia circuitry: A review of key research and implications for functional connectivity studies of mood and anxiety disorders. Brain Structure and Function, 215(2), 73–96. https://doi.org/10.1007/s00429-010-0280-y

Meuleman, B. (2015). Computational modeling of appraisal theory of emotion: Vols. PhD thesis. University of Geneva.

Miller, M., & Clark, A. (2018). Happily entangled: Prediction, emotion, and the embodied mind. Synthese, 195(6), 2559–2575. https://doi.org/10.1007/s11229-017-1399-7

Mitchell, S. D. (2012). Emergence: Logical, functional and dynamical. Synthese, 185, 171–186. https://doi.org/10.1007/s11229-010-9719-1

Moors, A. (2022). Demystifying emotions: A typology of theories in psychology and philosophy. Cambridge University Press.

Moors, A., Ellsworth, P. C., Scherer, K. R., & Frijda, N. H. (2013). Appraisal theories of emotion: State of the art and future development. Emotion Review, 5(2), 119–124. https://doi.org/10.1177/1754073912468165

Morag, T. (2016). Emotion, imagination, and the limits of reason. Routledge.

Packard, N. (1988). Adaptation toward the edge of chaos. University of Illinois at Urbana-Champaign, Center for Complex Systems Research.

Pattee, H. H. (1971). Physical theories of biological co-ordination. Quarterly Reviews of Biophysics, 4(2-3), 255–276. https://doi.org/10.1017/S0033583500000640

Russell, J. A. (2003). Core affect and the psychological construction of emotion. Psychological Review, 110(1), 145–172. https://doi.org/10.1037/0033-295X.110.1.145

Sander, D., Grandjean, D., & Scherer, K. R. (2005). A systems approach to appraisal mechanisms in emotion. Neural Networks, 18(4), 317–352. https://doi.org/10.1016/j.neunet.2005.03.001

Sartenaer, O. (2016). Sixteen years later: Making sense of emergence (again). Journal for General Philosophy of Science, 47, 79–103. https://doi.org/10.1007/s10838-015-9312-x

Sarto-Jackson, I. (2022). The making and breaking of minds. Vernon Press.

Scarantino, A. (2014). The motivational theory of emotions. In J. D’Arms & D. Jacobson (Eds.), Moral Psychology and Human Agency (pp. 156–185). Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198717812.003.0008

Scarantino, A. (2015). Basic emotions, psychological construction, and variability. In L. F. B. & J. A. Russell (Ed.), The psychological construction of emotion (pp. 334–376). Guilford Press.

Scarantino, A., & Sousa, R. de. (2021). Emotion. In E. N. Zalta (Ed.), The Stanford encyclopedia of philosophy (Summer 2021). https://plato.stanford.edu/archives/sum2021/entries/emotion/; Metaphysics Research Lab, Stanford University.

Scherer, K. R. (1984). On the nature and function of emotion: A component process approach. In P. Ekman (Ed.), Approaches to emotion (pp. 293–316). Psychology Press.

Scherer, K. R. (2009a). Emotions are emergent processes: They require a dynamic computational architecture. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535)(1535), 3459–3474. https://doi.org/10.1098/rstb.2009.0141

Scherer, K. R. (2009b). The dynamic architecture of emotion: Evidence for the component process model. Cognition and Emotion, 23(7), 1307–1351. https://doi.org/10.1080/02699930902928969

Scherer, K. R., & Moors, A. (2019). The emotion process: Event appraisal and component differentiation. Annual Review of Psychology, 70, 719–745. https://doi.org/10.1146/annurev-psych-122216-011854

Silvia, P. J., & Warburton, J. B. (2006). Positive and negative affect: Bridging state and traits. In J. C. Thomas & D. L. Segal (Eds.), Comprehensive handbook of personality and psychopathology, personality and everyday functioning (pp. 268–285). John Wiley & Sons.

Sinha, R., Lovallo, W. R., & Parsons, O. A. (1992). Cardiovascular differentiation of emotions. Psychosomatic Medicine, 54(4), 422–435. https://doi.org/10.1097/00006842-199207000-00005

Verduyn, P., Delaveau, P., Rotgé, J.-Y., Fossati, P., & Van Mechelen, I. (2015). Determinants of emotion duration and underlying psychological and neural mechanisms. Emotion Review, 7(4), 330–335. https://doi.org/10.1177/1754073915590618

Walsh, E. (2021). Pathological prediction: A top-down cause of organic disease. Synthese, 199(1-2), 4127–4150. https://doi.org/10.1007/s11229-020-02972-x

Wilkinson, S., Deane, G., Nave, K., & Clark, A. (2019). Getting warmer: Predictive processing and the nature of emotion. In L. Candiotto (Ed.), The Value of Emotions for Knowledge (pp. 101–119). Springer International Publishing.

Winning, J., & Bechtel, W. (2018). Rethinking causality in biological and neural mechanisms: Constraints and control. Minds and Machines, 28(2), 287–310. https://doi.org/10.1007/s11023-018-9458-5

Winning, J., & Bechtel, W. (2019). Being vs. Pattern emergence: Complexity, control, and goal-directedness in biological systems. In S. C. Gibb, R. F. Hendry, & T. Lancaster (Eds.), Routledge Handbook of Emergence (pp. 134–144). Routledge.

Woodward, J. (2000). Explanation and invariance in the special sciences. The British Journal for the Philosophy of Science, 51(2), 197–254. https://doi.org/10.1093/bjps/51.2.197

Woodward, J. (2007). Causation with a human face. In H. Price (Ed.), Causation, physics, and the constitution of reality: Russell’s republic revisited (pp. 66–105). Oxford University Press.

Yigla, M., Abassi, Z., Reisner, S. A., & Nakhoul, F. (2006). Pulmonary hypertension in hemodialysis patients: An unrecognized threat. Seminars in Dialysis, 19(5), 353–357. https://doi.org/10.1111/j.1525-139X.2006.00186.x

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