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Predictive Processing Theory in Mind Studies: Cross Points with 4E Cognition and Cognitive Linguistics

DOI: 10.4236/ojpp.2025.152021, PP. 349-366

Keywords: Philosophy of Mind, Predictive Processing Theory, Cognitive Unconscious, Cognitive Linguistics, 4E Cognition

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Abstract:

This article examines the compatibility of Predictive Processing Theory (PPT), or the theory of anticipatory brain, with other contemporary scientific and philosophical frameworks that offer promising approaches to explaining consciousness and mind in general. It analyzes the connections between PPT and theories that include the body and the environment in structuring our concepts of reality, such as that of embodied and situated consciousness—4E cognition, as well as Cognitive Linguistics with its understanding of Conceptual Metaphor. At the same time, it investigates the metaphysical strategy of PPT, which fits into the current philosophical project of naturalization and its associated strong dependence on the natural sciences. It explores the contributions of key theorists in the field such as Carl Friston, Jacob Hohwy, Andy Clark, and Anil Seth.

References

[1]  Adelson, E. H. (1995). Checker Shadow Illusion. Perceptual Science Group MIT.
https://persci.mit.edu/gallery/checkershadow
[2]  Applebaum, D. (2008). Probability and Information: An Integrated Approach (2nd ed.). Cambridge University Press.
https://doi.org/10.1017/cbo9780511755262
[3]  Barsalou, L. W. (2008). Grounded Cognition. Annual Review of Psychology, 59, 617-645.
https://doi.org/10.1146/annurev.psych.59.103006.093639
[4]  Bergen, B. K. (2012). Louder than Words: The New Science of How the Mind Makes Meaning. Basic Books.
[5]  Brown, T. B., Mann, B., Ryder, N. et al. (2020). Language Models Are Few-Shot Learners.
https://arxiv.org/abs/2005.14165
[6]  Caucheteux, C., Gramfort, A., & King, J. (2021). Long-Range and Hierarchical Language Predictions in Brains and Algorithms.
https://arxiv.org/abs/2111.14232
[7]  Chalmers, D. J. (1995). The Puzzle of Conscious Experience. Scientific American, 273, 80-86.
https://doi.org/10.1038/scientificamerican1295-80
[8]  Clark, A. (2013). Whatever Next? Predictive Brains, Situated Agents, and the Future of Cognitive Science. Behavioral and Brain Sciences, 36, 181-204.
https://doi.org/10.1017/s0140525x12000477
[9]  Clark, A. (2015). Embodied Prediction. In T. Metzinger, & J. M. Windt (Eds.), Open MIND (pp. 1-21). MIND Group.
[10]  Clark, A. (2016). Surfing Uncertainty: Prediction, Action, and the Embodied Mind. Oxford University Press.
https://doi.org/10.1093/acprof:oso/9780190217013.001.0001
[11]  Clark, A., & Chalmers, D. (1998). The Extended Mind. Analysis, 58, 7-19.
https://doi.org/10.1093/analys/58.1.7
[12]  Da Costa, L., Lanillos, P., Sajid, N., Friston, K., & Khan, S. (2022). How Active Inference Could Help Revolutionise Robotics. Entropy, 24, Article No. 361.
https://doi.org/10.3390/e24030361
[13]  Decartes, R. (1978). Selected Works. Nauka i Izkustvo.
[14]  Feldman, J., & Narayanan, S. (2003). Embodied Meaning in a Neural Theory of Language. Trends in Cognitive Sciences, 7, 387-392.
[15]  Friston, K. (2010). The Free-Energy Principle: A Unified Brain Theory? Nature Reviews Neuroscience, 11, 127-138.
https://doi.org/10.1038/nrn2787
[16]  Friston, K. J., & Frith, C. D. (2015). Active Inference, Communication and Hermeneutics. Cortex, 68, 129-143.
https://doi.org/10.1016/j.cortex.2015.03.025
[17]  Friston, K. J., Shiner, T., FitzGerald, T., Galea, J. M., Adams, R., Brown, H. et al. (2012). Dopamine, Affordance and Active Inference. PLOS Computational Biology, 8, e1002327.
https://doi.org/10.1371/journal.pcbi.1002327
[18]  Frith, C. D., & Frith, U. (2006). The Neural Basis of Mentalizing. Neuron, 50, 531-534.
https://doi.org/10.1016/j.neuron.2006.05.001
[19]  Gagl, B., Sassenhagen, J., Haan, S., Gregorova, K., Richlan, F., & Fiebach, C. J. (2020). An Orthographic Prediction Error as the Basis for Efficient Visual Word Recognition. NeuroImage, 214, Article ID: 116727.
https://doi.org/10.1016/j.neuroimage.2020.116727
[20]  Grisoni, L., Boux, I. P., & Pulvermüller, F. (2024). Predictive Brain Activity Shows Congruent Semantic Specificity in Language Comprehension and Production. The Journal of Neuroscience, 44, e1723232023.
https://doi.org/10.1523/jneurosci.1723-23.2023
[21]  Hauk, O., Johnsrude, I., & Pulvermüller, F. (2004). Somatotopic Representation of Action Words in Human Motor and Premotor Cortex. Neuron, 41, 301-307.
https://doi.org/10.1016/s0896-6273(03)00838-9
[22]  Hobbes, T. (1651). Leviathan. Dent and Sons.
[23]  Hohwy, J. (2013). The Predictive Mind. Oxford University Press.
https://doi.org/10.1093/acprof:oso/9780199682737.001.0001
[24]  Hohwy, J. (2016). The Self‐Evidencing Brain. Noûs, 50, 259-285.
https://doi.org/10.1111/nous.12062
[25]  Hohwy, J. (2020). New Directions in Predictive Processing. Mind & Language, 35, 209-223.
https://doi.org/10.1111/mila.12281
[26]  Hutchins, E. (1995). Cognition in the Wild. The MIT Press.
https://doi.org/10.7551/mitpress/1881.001.0001
[27]  Koster-Hale, J., & Saxe, R. (2013). Theory of Mind: A Neural Prediction Problem. Neuron, 79, 836-848.
[28]  Lakoff, G., & Johnson, M. (1980). Metaphors We Live by. University of Chicago Press.
[29]  Lakoff, G., & Johnson, M. (1999). Philosophy in the Flesh: The Embodied Mind and Its Challenge to Western Thought. Basic Books.
[30]  Lanillos, P., Meo, C., Pezzato, C. et al. (2021). Active Inference in Robotics and Artificial Agents: Survey and Challenges.
https://arxiv.org/abs/2112.01871
[31]  Marino, J. (2020). Predictive Coding, Variational Autoencoders, and Biological Connections.
https://arxiv.org/abs/2011.07464
[32]  Mentzelopoulos, A. P., Fan, D., Sapsis, T. P., & Triantafyllou, M. S. (2024). Variational Autoencoders and Transformers for Multivariate Time-Series Generative Modeling and Forecasting: Applications to Vortex-Induced Vibrations. Ocean Engineering, 310, Article ID: 118639.
https://doi.org/10.1016/j.oceaneng.2024.118639
[33]  Newen, A., De Bruin, L., & Gallagher, S. (2018). 4E Cognition: Historical Roots, Key Concepts, and Central Issues. In A. Newen, L. De Bruin, & S. Gallagher (Eds.), The Oxford Handbook of 4E Cognition (pp. 3-16). Oxford Academic.
https://doi.org/10.1093/oxfordhb/9780198735410.013.1
[34]  Pulvermüller, F. (2005). Brain Mechanisms Linking Language and Action. Nature Reviews Neuroscience, 6, 576-582.
https://doi.org/10.1038/nrn1706
[35]  Seth, A. (2021). Being You: A New Science of Consciousness. Faber & Faber.
[36]  Seth, A. K., & Hohwy, J. (2020). Predictive Processing as an Empirical Theory for Consciousness Science. Cognitive Neuroscience, 12, 89-90.
https://doi.org/10.1080/17588928.2020.1838467
[37]  Skrebtsova, T. G. (2000). The American School of Cognitive Linguistics. Anatolia.
[38]  Swanson, L. R. (2016). The Predictive Processing Paradigm Has Roots in Kant. Frontiers in Systems Neuroscience, 10, Article No. 79.
https://doi.org/10.3389/fnsys.2016.00079
[39]  Varela, F. J., Rosch, E., & Thompson, E. (1991). The Embodied Mind: Cognitive Science and Human Experience. The MIT Press.
https://doi.org/10.7551/mitpress/6730.001.0001
[40]  Vaswani, A., Shazeer, N., Parmar, N. et al. (2017). Attention Is All You Need. In Proceedings of the 31st International Conference on Neural Information Processing Systems (pp. 6000-6010).
https://arxiv.org/abs/1706.03762
[41]  Von Helmholtz, H. (1925). Helmholtzs Treatise on Physiological Optics. The Optical Society of America.
[42]  Wang, L., Schoot, L., Brothers, T., Alexander, E., Warnke, L., Kim, M. et al. (2023). Predictive Coding across the Left Fronto-Temporal Hierarchy during Language Comprehension. Cerebral Cortex, 33, 4478-4497.
https://doi.org/10.1093/cercor/bhac356

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