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Analog and Digital Representation

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Abstract

In this paper, I argue for three claims. The first is that the difference between analog and digital representation lies in the format and not the medium of representation. The second is that whether a given system is analog or digital will sometimes depend on facts about the user of that system. The third is that the first two claims are implicit in Haugeland's (1998) account of the distinction.

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Notes

  1. These capacities are present early in infancy, and remain present in older children and adults, long after the acquisition of precise numerical capacities. Moreover, approximate numerical capacities similar to those observed in humans have been documented in a range of other species.

  2. See for example, Wynn (1992), Dehaene (1997), Laurence and Margolis (2005), and Gallistel et al. (2006).

  3. See also von Neumann (1958), Goodman (1968), and Lewis (1971).

  4. See for example, Spelke (2003), Hauser and Spelke (2004).

References

  • Dehaene, S. (1997). The number sense. Oxford: Oxford University Press.

    MATH  Google Scholar 

  • Gallistel, C. R., Gelman, R., & Cordes, S. (2006). The cultural and evolutionary history of the real numbers. In S. Levinson & P. Jaisson (Eds.), Culture and evolution. Cambridge: MIT Press.

    Google Scholar 

  • Goodman, N. (1968). Languages of art. Indianapolis: The Bobbs-Merrill Company, Inc.

    Google Scholar 

  • Haugeland, J. (1998). Analog and analog. In J. Haugeland (Ed.), Having thought. Cambridge: Harvard University Press.

    Google Scholar 

  • Hauser, M. D., & Spelke, E. S. (2004). Evolutionary and developmental foundations of human knowledge: A case study of mathematics. In M. Gazzaniga (Ed.), The cognitive neurosciences (Vol. 3). Cambridge: MIT Press.

  • Laurence, S., & Margolis, E. (2005). Number and natural language. In P. Carruthers, S. Laurence, & S. Stich (Eds.), The innate mind: Structure and content (pp. 216–235). New York: Oxford University Press.

    Google Scholar 

  • Lewis, D. (1971). Analog and digital. Nous, 5(3), 321–327.

    Google Scholar 

  • Spelke, E. S. (2003). What makes us smart? Core knowledge and natural language. In D. Gentner & S. Goldin-Meadow (Eds.), Language in mind: Advances in the investigation of language and thought. Cambridge, MA: MIT Press.

    Google Scholar 

  • Von Neumann, J. (1958/2000). The computer and the brain (2nd ed.). New Haven: Yale University Press.

  • Wynn, K. (1992). Evidence against empiricist accounts of the origins of numerical knowledge. In A. I. Goldman (Ed.), Readings in philosophy and cognitive science (pp. 209–227). Cambridge: MIT Press.

    Google Scholar 

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Correspondence to Matthew Katz.

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Katz, M. Analog and Digital Representation. Minds & Machines 18, 403–408 (2008). https://doi.org/10.1007/s11023-008-9112-8

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  • DOI: https://doi.org/10.1007/s11023-008-9112-8

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