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Modeling Algorithmic Skills: The Bidimensional Turing Machine

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Extended Cognition and the Dynamics of Algorithmic Skills

Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics ((SAPERE,volume 35))

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Abstract

In this chapter I show, first, what modifications are needed in order to make the design of a Turing machine more suitable for being used as a model of human computation. The result of these modifications is a special kind of TM-inspired computational system, i.e. the Bidimensional Turing machine. Second, I introduce the notion of a Galilean model, namely, a concept of empirical adequacy for cognitive models (Giunti 1995) and I propose to consider Bidimensional Turing machines as a possible Galilean models.

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Notes

  1. 1.

    A full detailed formal definition is in Giunti and Pinna (2016), where BTMs are described as a special case of Algorithmically enhanced Turing Machines (ATMs) with a 2-dimensional external support.

  2. 2.

    These concepts are formulated in Giunti (2010a, b, 2014, 2016, forthcoming).

  3. 3.

    More precisely, Giunti proposes an “Empirical method for investigating the [MTT]-based theory of human computation (Giunti 2009, p. 24)”, where MTT refers to what he calls the methodological version of the Turing thesis. Let BT be a bidimensional Turing machine which models a certain phenomenon of human computation (namely, a cognitive phenomenon involving a human being which executes an algorithm) C, and let \(S_{C}\) be an empirical interpretation of BT on C. Then, the methodological version of the Turing thesis will be the following claim:

    For any specific phenomenon C of human computation, there is an appropriate bidimensional Turing machine BT such that \((BT, S_{C})\) turns out to be a Galilean model of C (Giunti 2009, p. 23).

    It is quite obvious that a necessary consequence of this claim is the fact that some specific BTM, interpreted on the corresponding algorithmic skills, is an empirically adequate model of those skills, as I assume, for the sake of argument, in the next chapter.

  4. 4.

    See Sect. 2.2 of this book.

References

  • Dewdney AK (1989) Two-dimensional turing machines and tur-mites. Sci Am 261:180–183

    Article  Google Scholar 

  • Giunti M (1995) Dynamical models of cognition. In: Port R, van Gelder T (eds) Mind as motion. MIT Press, Cambridge, MA

    Google Scholar 

  • Giunti M (1997) Computation, dynamics, and cognition. Oxford University Press, New York

    Google Scholar 

  • Giunti M (2009) Bidimensional Turing machines as Galilean models of human computation. In: Minati G, Abram M, Pessa E (eds) Processes of emergence of systems and systemic properties. World Scientific, Cambridge

    Google Scholar 

  • Giunti M (2010a) Panorama e prospettive dell’approccio dinamico in scienza cognitiva. Logic Philos Sci 8:101–118. http://www.unitsit/episteme/

  • Giunti M (2010b) Reduction in dynamical systems. In: D’Agostino M, Giorello G, Laudisa F, Pievani T, Sinigaglia C (eds) SILFS new essays in logic and philosophy of science. College Publications, London

    Google Scholar 

  • Giunti M (2014) A representational approach to reduction in dynamical systems. Erkenntnis 79(4):943–968

    Article  Google Scholar 

  • Giunti M (2016) A real world semantics for deterministic dynamical systems with finitely many components. In: New directions in logic and the philosophy of science. College Publications, pp 97–110

    Google Scholar 

  • Giunti M (forthcoming) What is a physical realization of a computational system? ISONOMIA

    Google Scholar 

  • Giunti M, Pinna S (2016) For a dynamical approach to human computation. Logic J IGPL 15(2):557–569

    Article  Google Scholar 

  • Milner R (1999) Communicating and mobile systems: the \(\pi \)-calculus. Cambridge University Press, Cambridge

    Google Scholar 

  • Milner R, Parrow J, Walker D (1989) A calculus of mobile processes, parts I and II. Technical report ECS-LFCS-89-85 and -86, University of Edinburgh, Edinburgh

    Google Scholar 

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Correspondence to Simone Pinna .

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Pinna, S. (2017). Modeling Algorithmic Skills: The Bidimensional Turing Machine. In: Extended Cognition and the Dynamics of Algorithmic Skills. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-51841-1_4

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