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Does the Principle of Computational Equivalence Overcome the Objections against Computationalism?

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Computing Nature

Abstract

Computationalism has been variously defined as the idea that the human mind can be modelled by means of mechanisms broadly equivalent to Turing Machines. Computationalism’s claims have been hotly debated and arguments against and for have drawn extensively from mathematics, cognitive sciences and philosophy, although the debate is hardly settled. On the other hand, in his 2002 book New Kind of Science, Stephen Wolfram advanced what he called the Principle of Computational Equivalence (PCE), whose main contention is that fairly simple systems can easily reach very complex behaviour and become as powerful as any possible system based on rules (that is, they are computationally equivalent). He also claimed that any natural (and even human) phenomenon can be explained as the interaction of very simple rules. Of course, given the universality of Turing Machine-like mechanisms, PCE could be considered simply a particular brand of computationalism, subject to the same objections as previous attempts. In this paper we analyse in depth if this view of PCE is justified or not and hence if PCE can overcome some criticisms and be a different and better model of the human mind.

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References

  1. Burge, T.: Individualism and the mental. In: French, P., Euhling, T., Wettstein, H. (eds.) Studies in Epistemology, Midwest Studies in Philosophy, vol. 4. University of Minnesota Press, Minneapolis (1979)

    Google Scholar 

  2. Burge, T.: Individualism and psychology. Philosophical Review 95(1), 3–45 (1986)

    Article  Google Scholar 

  3. Cook, M.: Universality in Elementary Cellular Automata. Complex Systems 15, 1–40 (2004)

    MathSciNet  MATH  Google Scholar 

  4. Cordeschi, R.: Computacionalism under attack. Cartographies of the Mind, Chapter 3, 37–49 (2007)

    Article  Google Scholar 

  5. Dodig-Crnkovic, G., Mueller, V.: A dialogue concerning two world systems: info-computational vs. mechanistic. In: Dodig Crnkovic, G., Burgin, M. (eds.) Information and Computation, pp. 149–184. World Scientific Publishing Co., Inc., Singapore (2009)

    Google Scholar 

  6. Dodig-Crnkovic, G.: Biological Information and Natural Computation. In: Vallverdú, J. (ed.) Thinking Machines and the Philosophy of Computer Science: Concepts and Principles, Information Science Reference. IGI Global, Hershey (2010)

    Google Scholar 

  7. Dodig-Crnkovik, G.: Dynamics of Information as Natural Computation. Information 2(3), 460–477 (2011), doi:10.3390/info2030460

    Article  Google Scholar 

  8. Dodig-Crnkovic, G.: Physical Computation as Dynamics of Form that Glues Everything Together. Information 3(2), 204–218 (2012)

    Article  Google Scholar 

  9. Dreyfus, H.: What Computers Can’t Do. Harper and Row, Nueva York (1972)

    Google Scholar 

  10. Dreyfus, H.: What Computers Still Can’t Do. MIT Press, Cambridge (1992)

    Google Scholar 

  11. Fodor, J.: Metodological silopsism considered as a research strategy in cognitive science. Behavioral and Brain Sciences 3, 63–73

    Google Scholar 

  12. Fodor, J.A.: Representations: Philosophical Essays on the Foundations of Cognitive Science. MIT Press, Cambridge (1981)

    Google Scholar 

  13. Fodor, J.A.: Theory of Content and Other Essays. MIT Press, Cambridge (1990)

    Google Scholar 

  14. Fodor, J.A.: The Elm and the Expert. MIT Press, Cambridge (1993)

    Google Scholar 

  15. Fodor, J.A.: Concepts. Clarendon Press, Oxford (1998)

    Book  Google Scholar 

  16. Garrido, A.: Connectionism vs. Computationalism Theory of Mind. BRAIN (Broad Research in Artificial Intelligence and Neuroscience)  1(1) (2010)

    Google Scholar 

  17. Horst, S.: Mind Computationalism Theory. University of California Press, Berkeley (1986)

    Google Scholar 

  18. Horst, S.: Symbols, Computation and Intentionality: A Critique of the Computational Theory of Mind. University of California Press, Berkeley (1996)

    Google Scholar 

  19. The Stanford Encyclopedia of Philosophy, http://plato.stanford.edu/

  20. Kelemen, J., Alica, K.: The New Computationalism: a Lesson from Embodied Agents. Silesram University, Institute of Computer Science Press, Opava, Slovakia (2008)

    Google Scholar 

  21. McCulloch, W.S., Pitts, W.H.: A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biophysics 7, 115–133 (1943)

    Article  MathSciNet  Google Scholar 

  22. Piccinini, G.: The first Computational theory of mind and brain: a close look at McCulloch and Pitts’s Logical calculus of ideas immanent in nervous activity. Synthese 141, 175–215 (2004)

    Article  MathSciNet  Google Scholar 

  23. Piccinini, G.: Computationalism, the Church-Turing thesis, and the Church-Turing falacy. Synthese 154(1), 97–120 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  24. Piccinini, G.: Computatonalism in the Philosophy of Mind. Philosophy Compass, Journal Compilation 4 (2009)

    Google Scholar 

  25. Pinker, S.: The Language Instinct, the New Science of Language and Mind. Penguin, London (1995)

    Google Scholar 

  26. Pinker, S.: How the Mind Works. Penguin, London (1997)

    Google Scholar 

  27. Putnam, H.: The Meaning of “Meaning”. In: Gunderson, E.K. (ed.) Language, Mind and Knowledge. Minnesota Studies in the Philosophy of Science, vol. 7, University of Minnesota Press, Minneapolis (1975)

    Google Scholar 

  28. Sayre, K.: Intentionality and information processing: An alternative model for cognitive science. Behavioral and Brain Sciences 9(1), 121–138 (1986)

    Article  Google Scholar 

  29. Searle, J.: Minds, brains and programs. Behavioral and Brain Sciences 3, 417–424 (1980)

    Article  Google Scholar 

  30. Searle, J.: Is the Brain a digital computer? Proceedings and Addresses of American Philosophical Association 64, 21–37 (1990)

    Article  Google Scholar 

  31. Smith, A.: Universality of Wolfram’s 2,3 Turing Machine (2007)

    Google Scholar 

  32. Sutner, K.: Cellular automata and intermediate degrees. Theoretical Computer Science 296, 365–375 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  33. Sutner, K.: Universality and Cellular Automata. MCU, 50–59 (2004)

    Google Scholar 

  34. Turing, A.M.: Lecture to the London Mathematical Society on 20 February 1947. In: Ince, D. (ed.) Mechanical Intelligence, pp. 87–105. North-Holland, Amsterdam (1947)

    Google Scholar 

  35. Turing, A.M.: Intelligent Machinery. In: Ince, D. (ed.) Mechanical Intelligence, pp. 87–106. North-Holland, Amsterdam (1948)

    Google Scholar 

  36. Turing, A.M.: Computing machinery and intelligence. Mind 59, 433–460 (1950)

    Article  MathSciNet  Google Scholar 

  37. Winograd, T., Flores, F.: Understanding Computers and Cognition. Ablex, Norwood (1986)

    MATH  Google Scholar 

  38. Wolfram, S.: The New Kind of Science (2002) ISBN 1-57955-008-8

    Google Scholar 

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Correspondence to Alberto Hernández-Espinosa .

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Hernández-Espinosa, A., Hernández-Quiroz, F. (2013). Does the Principle of Computational Equivalence Overcome the Objections against Computationalism?. In: Dodig-Crnkovic, G., Giovagnoli, R. (eds) Computing Nature. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 7. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37225-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-37225-4_14

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