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Cognition as Embodied Morphological Computation

  • Gordana Dodig-CrnkovicEmail author
Conference paper
First Online:
Part of the Studies in Applied Philosophy, Epistemology and Rational Ethics book series (SAPERE, volume 44)

Abstract

Cognitive science is considered to be the study of mind (consciousness and thought) and intelligence in humans. Under such definition variety of unsolved/unsolvable problems appear. This article argues for a broad understanding of cognition based on empirical results from i.a. natural sciences, self-organization, artificial intelligence and artificial life, network science and neuroscience, that apart from the high level mental activities in humans, includes sub-symbolic and sub-conscious processes, such as emotions, recognizes cognition in other living beings as well as extended and distributed/social cognition. The new idea of cognition as complex multiscale phenomenon evolved in living organisms based on bodily structures that process information, linking cognitivists and EEEE (embodied, embedded, enactive, extended) cognition approaches with the idea of morphological computation (info-computational self-organisation) in cognizing agents, emerging in evolution through interactions of a (living/cognizing) agent with the environment.

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References

  1. Abramsky, S., Coecke, B.: Physics from computer science. Int. J. Unconv. Comput. 3(3), 179–197 (2007)Google Scholar
  2. Barabasi, A.-L.: Bursts: The Hidden Pattern Behind Everything We Do. Dutton, London (2010)Google Scholar
  3. Burgin, M., Dodig-Crnkovic, G.: A taxonomy of computation and information architecture. In: ECSA 2015 ASDS Workshop, Proceedings of the 2015 European Conference on Software Architecture Workshops (ECSAW 2015). ACM, New York (2015)Google Scholar
  4. Clark, A.: Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behav. Brain Sci. 36(3), 181–204 (2013)CrossRefGoogle Scholar
  5. Cooper, S.B.: The mathematician’s bias and the return to embodied computation. In: Zenil, H. (ed.) A Computable Universe: Understanding and Exploring Nature as Computation. World Scientific Pub. Co Inc. (2012)Google Scholar
  6. Epstein, J.M.: Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton University, Princeton (2007)Google Scholar
  7. Dodig-Crnkovic, G.: Modeling life as cognitive info-computation. In: Beckmann, A., Csuhaj-Varjú, E., Meer, K. (eds.) Computability in Europe 2014, Proceedings of the 10th Computability in Europe 2014, Language, Life, Limits. LNCS, Budapest, Hungary, 23–27 June 2014. Springer (2014)Google Scholar
  8. Dodig-Crnkovic, G.: Information, computation, cognition. Agency-based hierarchies of levels. (author’s draft). In: Müller, V.C. (ed.) Fundamental Issues of Artificial Intelligence. Synthese Library, vol. 377, pp. 139–159. Springer International Publishing, Cham (2016).  https://doi.org/10.1007/978-3-319-26485-1_10, http://arxiv.org/abs/1311.0413
  9. Dodig-Crnkovic, G.: Nature as a network of morphological infocomputational processes for cognitive agents. Eur. Phys. J. Spec. Top. 226, 181–195 (2017).  https://doi.org/10.1140/epjst/e2016-60362-9CrossRefGoogle Scholar
  10. Freeman, W.J.: The neurobiological infrastructure of natural computing: intentionality. New Math. Nat. Comput. 5, 19–29 (2009)CrossRefGoogle Scholar
  11. Hauser, H., Füchslin, R.M., Pfeifer, R. (eds.): Opinions and Outlooks on Morphological Computation (2014). ISBN (Electronic) 978-3-033-04515-6. http://www.merlin.uzh.ch/contributionDocument/download/7499. Accessed 28 Jan 2018
  12. MacLennan, B.J.: Morphogenesis as a model for nano communication. Nano Commun. Netw. 1, 199–208 (2010)CrossRefGoogle Scholar
  13. Matsushita, K., Lungarella, M., Paul, C., Yokoi, H.: Locomoting with less computation but more morphology. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp. 2008–2013 (2005)Google Scholar
  14. Maturana, H.R., Varela, F.J.: Autopoiesis and cognition - the realization of the living. In: Cohen, R.S., Wartofsky, M.W. (eds.) Boston Studies in the Philosophy of Science, vol. 42. D. Reidel Publishing, Dordrecht (1980)Google Scholar
  15. Müller, V.C., Hoffmann, M.: What is morphological computation? On how the body contributes to cognition and control. Artif. Life 23, 1–24 (2017)CrossRefGoogle Scholar
  16. Paul, C.: Morphology and computation. In: Proceedings of the International Conference on the Simulation of Adaptive Behaviour Los Angeles, CA, USA, pp. 33–38 (2004)Google Scholar
  17. Pfeifer, R., Bongard, J.: How the Body Shapes the Way We Think. A New View of Intelligence. MIT Press, Cambridge (2006)Google Scholar
  18. Pfeifer, R., Iida, F.: Morphological computation: connecting body, brain and environment. Jpn. Sci. Mon. 58(2), 48–54 (2005)Google Scholar
  19. Piccinini, G., Shagrir, O.: Foundations of computational neuroscience. Curr. Opin. Neurobiol. 25, 25–30 (2014)CrossRefGoogle Scholar
  20. Scheutz, M. (ed.): Computationalism: New Directions. Cambridge University Press, Cambridge (2002)Google Scholar
  21. Sloman, A.: What’s information, for an organism or intelligent machine? How can a machine or organism mean? (Book chapter). In: Dodig-Crnkovic, G., Burgin, M. (eds.) Information and Computation. Series in Information Studies. World Scientific Publishing Co (2011)Google Scholar
  22. Stewart, J.: Cognition = Life: implications for higher-level cognition. Behav. Proc. 35, 311–326 (1996)CrossRefGoogle Scholar
  23. Thagard, P.: Cognitive science. In: Encyclopedia Britannica (2013). https://www.britannica.com/science/cognitive-science. Accessed 28 Jan 2018
  24. Thagard, P.: Cognitive science. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy (Fall 2014 Edition) (2014). https://plato.stanford.edu/archives/fall2014/entries/cognitive-science/. Accessed 28 Jan 2018
  25. Tononi, G.: An information integration theory of consciousness. BMC Neurosci. 5, 42 (2004)CrossRefGoogle Scholar
  26. van Leeuwen, J., Wiedermann, J.: Knowledge, representation and the dynamics of computation. In: Dodig-Crnkovic, F., Giovagnoli, R. (eds.) Representation and Reality in Humans, Other Living Organisms and Intelligent Machines, p. 69. Springer, Cham (2017)Google Scholar
  27. von Haugwitz, R., Dodig-Crnkovic, G.: Probabilistic computation and emotion as self-regulation. In: ECSA 2015 ASDS Workshop, Proceedings of the 2015 European Conference on Software Architecture Workshops (ECSAW 2015). ACM, New York (2015)Google Scholar
  28. Zenil, H. (ed.): A Computable Universe. Understanding Computation & Exploring Nature As Computation. World Scientific Publishing Company/Imperial College Press, Singapore (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Chalmers University of TechnologyGothenburgSweden
  2. 2.Gothenburg UniversityGothenburgSweden

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