Is There a Role for Computation in the Enactive Paradigm?

  • Carlos F. BritoEmail author
  • Victor X. Marques
Part of the Synthese Library book series (SYLI, volume 376)


The main contribution of this paper is a naturalized account of the phenomenon of computation. The key idea for the development of this account is the identification of the notion of syntactical processing (or information processing) with the dynamical evolution of a constrained physical process, based on the observation that both evolve according to an arbitrary set of rules. This identification, in turn, revealed that, from the physical point of view, computation could be understood in terms of the operation of a component subdivided into two parts, (a) the constrained process and (b) the constraints that control its dynamics, where the interactions with the rest of the system are mediated by configurational changes of the constrained process. The immediate consequence of this analysis is the observation that this notion of computation can be readily integrated into the enactive paradigm of cognition.


Enaction Computation Syntax Arbitrariness Computation Varela Organism Searle 


  1. Ashby, R. (1958). An introduction to cybernetics. London: Chapman & Hall.Google Scholar
  2. Bickhard, M. (2000). Autonomy, function and representation. Communication and Cognition – Artificial Intelligence, 17, 111–131.Google Scholar
  3. Block, N. (1995). The mind as the software of the brain. In L. R. Gleitman (Ed.), An invitation to cognitive science. Cambridge: MIT.Google Scholar
  4. Haugeland, J. (1981). Semantic engines: An introduction to mind design. In J. Haugeland (Ed.), Mind design: Philosophy, psychology, artificial intelligence (pp. 1–34). Cambridge: MIT.Google Scholar
  5. Haugeland, J. (2002). Syntax, semantics, physics. In J. Preston & M. Bishop (Eds.), Views into the Chinese room: New essays on Searle and artificial intelligence (pp. 379–392). Oxford: Oxford University Press.Google Scholar
  6. Hopfield, J. (1994). Physics, computation, and why biology looks so different. Journal of Theoretical Biology, 171, 53–60.CrossRefGoogle Scholar
  7. Moreno, A., & Lasa, A. (2003). From basic adaptivity to early mind. Evolution and Cognition, 9, 12–30.Google Scholar
  8. Moreno, A., Merelo, J., & Etxeberria, A. (1992). Perception, adaptation and learning. In Proceedings of a Workshop on Autopoiesis and Perception, Dublin.
  9. Mossio, M., Saborido, C., & Moreno, A. (2009). An organizational account of biological functions. British Journal for the Philosophy of Science, 60(4), 813–841.CrossRefGoogle Scholar
  10. Pattee, H. (1971). Physical theories of biological co-ordination. Quaterly Reviews of Biophysics, 4, 255–276.CrossRefGoogle Scholar
  11. Piccinini, G. (2007). Computing mechanisms. Philosophy of Science, 74(4), 501–526.CrossRefGoogle Scholar
  12. Polanyi, M. (1968). Life’s irreducible structure. Science, 160, 1308–1312.CrossRefGoogle Scholar
  13. Rosen, R. (1985). Anticipatory systems. Oxford: Pergamon Press.Google Scholar
  14. Rosen, R. (1986). Causal structures in brains and machines. International Journal of General Systems, 12, 107–126.CrossRefGoogle Scholar
  15. Rosen, R. (1991). Life itself: A comprehensive inquiry into the nature, origin and fabrication of life. New York: Columbia University Press.Google Scholar
  16. Scheutz, M. (1999). When physical systems realize functions. Minds and Machines, 9(2), 161–196.CrossRefGoogle Scholar
  17. Searle, J. (1980). Minds, brains and programs. Behavioral and Brain Sciences, 3, 417–457.CrossRefGoogle Scholar
  18. Searle, J. (1990). Is the brain a digital computer? Proceedings and Addresses of the American Philosophical Association, 64, 21–37.Google Scholar
  19. Umerez, J., & Mossio, M. (2013). Constraint. In W. Dubitzky (Ed.), Encyclopedia of systems biology (pp. 490–493). New York: Springer.CrossRefGoogle Scholar
  20. Varela, F. (1979). Principles of biological autonomy. North Holland: Elsevier.Google Scholar
  21. Varela, F. (1992). Autopoiesis and a biology of intentionality. In B. McMullin & N. Murphy (Eds.), Proceedings of a Workshop on Autopoiesis and Perception, Dublin City University.Google Scholar
  22. Varela, F. (1997). Patterns of life: Intertwining identity and cognition. Brain and Cognition, 34, 72–87.CrossRefGoogle Scholar

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© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Computer Science DepartmentUniversidade Federal do CearáFortalezaBrasil
  2. 2.Pontifícia Universidade Católica do Rio Grande do SulPorto AlegreBrasil

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