Abstract
The paper draws on scientific resources formed around the notion of Free Energy Principle to reconstruct two well-known defences of panpsychism. I reconstruct the argument from continuity by expanding the mind-life continuity thesis under the rubric of the Free Energy Principle (FEP), by showing that FEP does not provide an objective criterion for demarcating the living from the inanimate. Then I will reconstruct the argument from intrinsic nature. The FEP-based account of consciousness is centred on the notion of ‘temporal depth’ of generative models. I argue that even evolution can be modelled as a temporally deep system. Since we have no access to the intrinsic perspective of evolution to see whether or not it models itself as a temporally deep system, we must draw an analogy from our own case and conclude that evolution is consciousness involving. Thus the paper reconstructs two main arguments for panpsychism.
Similar content being viewed by others
Notes
I thank one of the reviewers of this journal for this remark.
I thank one of the reviewers of this paper for this remark.
It is expressed in terms of “the Kullback-Leibler (KL) divergence between the posterior (predictive) and prior (preferred) distributions over future outcomes, plus the expected entropy of those observations, given their causes.”(Friston et al., 2015, p. 189). Negative expected free energy is expressed as “as the expected divergence between the posterior (predictive) distribution over hidden states with and without future observations, plus the expected utility (defined as the log of the prior probability of future states)” (ibid).
Referring to works of Jakob Hohwy (2013, 2014), Kirchhoff and Froese (2017) argue that there is a cognitivist (or representationalist) construal of FEP which holds that although some organisms are cognisant, the relation between life and mind is only contingent and accidental. The cognitivist construal assumes that having mental qualities requires the capacity to realize computational processes with semantic content, and because this capacity does not mandate the property of being alive, there is no necessary relationship between mind and life. According to this construal. Although they may, mental properties do not need to be embodied in biological organs according to the cognitivist reading of FEP (Kirchhoff & Froese, 2017, p. 2).
It may even be assumed that in some sense the thermometer engages in some kind of active inference. The thermometer updates its internal predictions of degrees of hotness of an object when there is discrepancy between predicted degrees of hotness and actual degrees of hotness (as being captured by the thermometer’s sensors). As such, although thermometer does not actively change the state of the world, it engages in epistemic action (disclosing information about the environment), which may enable pragmatic action in future (for the difference between epistemic and pragmatic action see (Friston et al., 2015, p. 188)). Even so, from the enactivist point of view, it can be denied that thermometer satisfies the normative aspect of active inference, because it does not possess a natural history of selection.
Radical embodiment assumes that directed intentionality provides a basic platform for cognition and mentality without indicating that all living beings possess mental qualities in the sense that human beings do (Hutto & Myin, 2017).
The autonomy of a living system is defined in terms of its self-individuation as a process whose internal states are distinguishable from its immediate environment (note that under the rubric of FEP Markovian models could represent the separation between internal and external states). Living systems are autonomous in the sense that they endeavour to retain their systematic integrity (by invoking active inferences, under FEP). For an organism, autonomy consists of its capacity to self-individuate by generating and maintaining itself through “constant structural and functional change” (Di Paolo & Thompson, 2014, p. 68). The adaptive autonomous system “produces and sustains its own identity in precarious conditions, registered as better or worse, and thereby establishes a perspective from which interactions with the world acquire a normative status”(Di Paolo & Thompson, 2014, p. 73). Self-individuation, which provides a criterion for identifying life and mind as integrated, is a result of organisms’ adaptive autonomy.
The main point here is that we do not need to presuppose a steadfast distinction between living an inanimate. An alternative view that recognises the continuity between living (mental) and non-living (non-mental) can be found in Herbert Spence’s (1884) “Religion: A Retrospect and Prospect”, which holds that “every point in space thrills with an infinity of vibrations passing through it in all directions; the conception to which [the enlightened scientist] tends is much less that of a Universe of dead matter than that of a Universe everywhere alive: alive if not in the restricted sense, still in a general sense” (qouted by Skrbina, 2005, p. 144).
I thank one of the reviewers of this journal for remarking this point.
By one of the reviewers of this journal.
Along the same realist lines, Friston adds that “in quantum mechanics, a Markov blanket is necessary to distinguish between the state of a system and the system performing a measurement. In statistical mechanics, the Markov blanket enables us to talk about thermodynamic systems in contact with a heat reservoir. Finally, in classical mechanics, Markov blankets are necessary to distinguish massive bodies that exert forces on each other” (ibid).
References
Apps, M. A. J., & Tsakiris, M. (2014). The free-energy self: A predictive coding account of self-recognition. Neuroscience & Biobehavioral Reviews, 41, 85–97. https://doi.org/10.1016/J.NEUBIOREV.2013.01.029.
Baltieri, M., Buckley, C. L., & Bruineberg, J. (2020). Predictions in the eye of the beholder: An active inference account of Watt governors. http://arxiv.org/abs/2006.11495
Beni, M. D. (2018). The reward of unification: A realist reading of the predictive processing theory. New Ideas in Psychology, 48, 21–26. https://doi.org/10.1016/j.newideapsych.2017.10.001.
Beni, M. D. (2019a). Cognitive structural realism : A radical solution to the problem of scientific representation. Springer Nature.
Beni, M. D. (2019b). Conjuring cognitive structures: Towards a unified model of cognition. In A. Nepomuceno-Fernández, L. Magnani, F. Salguero-Lamillar, C. Barés-Gómez, & M. Fontaine (Eds.), Model-based reasoning in science and technology. MBR 2018 (pp. 153–172). Springer. https://doi.org/10.1007/978-3-030-32722-4_10.
Beni, M. D. (2019c). Structuring the self. Palgrave Macmillan.
Chalmers, D. J. (1996). The conscious mind: In search of a conscious experience. In Book. Oxford University Press.
Clark, A. (2000). Mindware : An introduction to the philosophy of cognitive science. Oxford University Press.
Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(03), 181–204. https://doi.org/10.1017/S0140525X12000477.
Clark, A. (2016). Surfing uncertainty. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780190217013.001.0001.
Colombo, M., & Hartmann, S. (2015). Bayesian cognitive science, unification, and explanation. The British Journal for the Philosophy of Science, 68(2), axv036. https://doi.org/10.1093/bjps/axv036.
Colombo, M., & Wright, C. (2018). First principles in the life sciences: The free-energy principle, organicism, and mechanism. Synthese, 1–26. https://doi.org/10.1007/s11229-018-01932-w.
Colombo, M., Elkin, L., & Hartmann, S. (2018). Being realist about Bayes, and the predictive processing theory of mind. The British Journal for the Philosophy of Science., 72, 185–220. https://doi.org/10.1093/bjps/axy059.
Dayan, P., Hinton, G. E., Neal, R. M., & Zemel, R. S. (1995). The Helmholtz Machine. Neural Computation, 7(5), 889–904.
De Jesus, P. (2016). Autopoietic enactivism, phenomenology and the deep continuity between life and mind. Phenomenology and the Cognitive Sciences, 15(2), 265–289. https://doi.org/10.1007/s11097-015-9414-2.
Di Paolo, E. A. (2005). Autopoiesis, adaptivity, teleology, agency. Phenomenology and the Cognitive Sciences, 4(4), 429–452. https://doi.org/10.1007/s11097-005-9002-y.
Di Paolo, E. A., & Thompson, E. (2014). The enactive approach. In L. Shapiro (Ed.), Routledge handbooks in philosophy. The Routledge handbook of embodied cognition. Routledge. https://psycnet.apa.org/record/2014-19965-007
Eddington, A. S. (1928). THE NATURE OF THE PHYSICAL WORLD. Cambridge University Press.
Friston, K. J. (2009). The free-energy principle: A rough guide to the brain? Trends in Cognitive Sciences, 13(7), 293–301. https://doi.org/10.1016/j.tics.2009.04.005.
Friston, K. J. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138. https://doi.org/10.1038/nrn2787.
Friston, K. J. (2012a). The history of the future of the Bayesian brain. NeuroImage, 62(2), 1230–1233. https://doi.org/10.1016/j.neuroimage.2011.10.004.
Friston, K. J. (2012b). A free energy principle for biological systems. Entropy (Basel, Switzerland), 14(11), 2100–2121. https://doi.org/10.3390/e14112100.
Friston, K. J. (2018). Am I self-conscious? Frontiers in Psychology, 9, 579. https://doi.org/10.3389/FPSYG.2018.00579.
Friston, K. J. (2019). Beyond the desert landscape. In M. Colombo, E. Irvine, & M. Stapleton (Eds.), Andy Clark and His Critics (pp. 174–190). Oxford University Press. https://doi.org/10.1093/oso/9780190662813.003.0014.
Friston, K. J., & Kiebel, S. (2009). Predictive coding under the free-energy principle. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 364(1521), 1211–1221. https://doi.org/10.1098/rstb.2008.0300.
Friston, K. J., & Stephan, K. E. (2007). Free-energy and the brain. Synthese, 159(3), 417–458. https://doi.org/10.1007/s11229-007-9237-y.
Friston, K. J., Samothrakis, S., & Montague, R. (2012). Active inference and agency: Optimal control without cost functions. Biological Cybernetics, 106(8–9), 523–541. https://doi.org/10.1007/s00422-012-0512-8.
Friston, K. J., Schwartenbeck, P., FitzGerald, T., Moutoussis, M., Behrens, T., & Dolan, R. J. (2013). The anatomy of choice: Active inference and agency. Frontiers in Human Neuroscience, SEP., 7. https://doi.org/10.3389/fnhum.2013.00598.
Friston, K. J., Rigoli, F., Ognibene, D., Mathys, C., Fitzgerald, T., & Pezzulo, G. (2015). Active inference and epistemic value. Cognitive Neuroscience, 6(4), 187–214. https://doi.org/10.1080/17588928.2015.1020053.
Friston, K. J., Wiese, W., & Hobson, J. A. (2020). Sentience and the origins of consciousness: From Cartesian duality to Markovian monism. Entropy 2020, Vol. 22, Page 516, 22(5), 516. https://doi.org/10.3390/E22050516
Globus, G. G. (1976). Mind, structure, and contradiction. In G. G. Globus (Ed.), Consciousness and the Brain (pp. 271–293). Springer US. https://doi.org/10.1007/978-1-4684-2196-5_10.
Goff, P. (2017). Consciousness and fundamental reality. In Consciousness and Fundamental Reality. Oxford University Press. https://doi.org/10.1093/oso/9780190677015.001.0001.
Goff, P., Seager, W., & Allen-Hermanson, S. (2020). Panpsychism. In E. N. Zalta (Ed.), Stanford Encyclopedia of Philosophy.
Hohwy, J. (2013). The predictive mind. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199682737.001.0001.
Hohwy, J. (2014). The self-evidencing brain. Noûs, 50(2), 259–285. https://doi.org/10.1111/nous.12062.
Hutto, D. D., & Myin, E. (2013). Radicalizing enactivism basic minds without content. MIT Press.
Hutto, D. D., & Myin, E. (2017). Evolving enactivism: Basic minds meet content. In Evolving Enactivism: Basic Minds Meet Content. MIT Press. https://doi.org/10.1080/09515089.2018.1492104
Hutto, D. D., Kirchhoff, M. D., & Myin, E. (2014). Extensive enactivism: Why keep it all in? Frontiers in Human Neuroscience, 8, 706. https://doi.org/10.3389/fnhum.2014.00706.
Kirchhoff, M. D. (2018). Autopoiesis, free energy, and the life–mind continuity thesis. Synthese, 195(6), 2519–2540. https://doi.org/10.1007/s11229-016-1100-6.
Kirchhoff, M. D., & Froese, T. (2017). Where there is life there is mind: In support of a strong life-mind continuity thesis. Entropy, 19(4), 169. https://doi.org/10.3390/e19040169.
Kirchhoff, M. D., & Kiverstein, J. (2019). Extended consciousness and predictive processing: A third-wave view. Routledge. https://philpapers.org/rec/KIRECA-5
Kirchhoff, M. D., Parr, T., Palacios, E., Friston, K. J., & Kiverstein, J. (2018). The Markov blankets of life: Autonomy, active inference and the free energy principle. Journal of the Royal Society, Interface, 15, (138), 20170792. https://doi.org/10.1098/rsif.2017.0792.
Knill, D. C., & Pouget, A. (2004). The Bayesian brain: The role of uncertainty in neural coding and computation. Trends in Neurosciences, 27(12), 712–719. https://doi.org/10.1016/j.tins.2004.10.007.
Ladyman, J., & Ross, D. (2007). Every thing must go. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199276196.001.0001.
Psillos, S. (2011). Choosing the realist framework. In Synthese (Vol. 180, pp. 301–316). Springer. https://doi.org/10.2307/41477558.
Ramstead, M. J. D., Badcock, P. B., & Friston, K. J. (2017). Answering Schrödinger’s question: A free-energy formulation. Physics of Life Reviews., 24, 1–16. https://doi.org/10.1016/J.PLREV.2017.09.001.
Ramstead, M. J. D., Friston, K. J., & Hipólito, I. (2020). Is the free-energy principle a formal theory of semantics? From variational density dynamics to neural and phenotypic representations. Entropy, 22(8), 889. https://doi.org/10.3390/e22080889.
Rao, R. P., & Ballard, D. H. (1999). Predictive coding in the visual cortex: A functional interpretation of some extra-classical receptive-field effects. Nature Neuroscience, 2(1), 79–87. https://doi.org/10.1038/4580.
Russell, B. (1927). The analysis of matter. Kegan Paul.
Skrbina, D. (2005). Panpsychism in the west. In Panpsychism in the West. The MIT Press. https://doi.org/10.5840/process200837237.
Solms, M., & Friston, K. J. (2018). How and why consciousness arises: Some considerations from physics and physiology. Journal of Consciousness Studies, 25(5–6), 202–238.
Strawson, G. (2006). Realistic monism: Why Physicalism entails Panpsychism. Journal of Consciousness Studies, 13(10–11), 3–31.
Strawson, G. (2008). Real materialism: And other essays. Oxford Scholarship Online. https://www.oxfordscholarship.com/view/10.1093/acprof:oso/9780199267422.001.0001/acprof-9780199267422
Strawson, G. (2015). Mind and being: The primacy of panpsychism. Panpsychism: Philosophical Essays, December, 1–30.
Strawson, G. (2018). The consciousness deniers. New York Review of Books, March, 1–9. https://www.nybooks.com/daily/2018/03/13/the-consciousness-deniers/
Swanson, L. R. (2016). The predictive processing paradigm has roots in Kant. Frontiers in Systems Neuroscience, 10, 79. https://doi.org/10.3389/fnsys.2016.00079.
Thompson, E. (2007). Mind in life: Biology, phenomenology, and the sciences of mind. Harvard University Press. https://www.hup.harvard.edu/catalog.php?isbn=9780674057517
Tononi, G., & Koch, C. (2015). Consciousness: Here, there and everywhere? Philosophical Transactions of the Royal Society of London B: Biological Sciences, 370(1668), 20140167.
van Es, T. (2020). Living models or life modelled? On the use of models in the free energy principle. Adaptive Behavior, 105971232091867. https://doi.org/10.1177/1059712320918678.
Van Gelder, T. (1995). What might cognition be, if not computation? Journal of Philosophy, 92(7), 345–381. https://doi.org/10.2307/2941061.
Willms, A. R., Kitanov, P. M., & Langford, W. F. (2017). Huygens’ clocks revisited. Royal Society Open Science, 4(9), 170777. https://doi.org/10.1098/rsos.170777.
Acknowledgments
I am sincerely grateful to two anonymous reviewers of this journal for their constructive comments.
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.
Rights and permissions
About this article
Cite this article
Beni, M.D. A free energy reconstruction of arguments for panpsychism. Phenom Cogn Sci 22, 399–416 (2023). https://doi.org/10.1007/s11097-021-09739-w
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11097-021-09739-w