Skip to main content
Log in

Turing’s Responses to Two Objections

  • Published:
Minds and Machines Aims and scope Submit manuscript

Abstract

In this paper I argue that Turing’s responses to the mathematical objection are straightforward, despite recent claims to the contrary. I then go on to show that by understanding the importance of learning machines for Turing as related not to the mathematical objection, but to Lady Lovelace’s objection, we can better understand Turing’s response to Lady Lovelace’s objection. Finally, I argue that by understanding Turing’s responses to these objections more clearly, we discover a hitherto unrecognized, substantive thesis in his philosophical thinking about the nature of mind.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

Notes

  1. For example, Jerry Fodor writes, “… the question arises, how a machine could be rational? …the great logician Alan Turing proposed an answer to this question. It is, I think, the most important idea about how the mind works that anybody has ever had. Sometimes I think that it is the only important idea about how the mind works that anybody has ever had” (Fodor 1992, p. 6).

  2. Some of the articles discussed here appeared in print first in Furukawa et al. (1999), with B. J. Copeland editing them, and then, collected with corrected versions of other materials in which Turing discusses machine intelligence, in Copeland (2004).

  3. Notice that the generation of m involves applying a similar method to one used in a proof of what is often called the recursion theorem for computability (see, for example, Rogers 1967, p. 180).

  4. Here, as in general (and as Turing did), by infallible, I mean infallible for questions that can be expressed as theorems of first order arithmetic, as can statements of the halting of a particular Turing machine on a particular input.

  5. Perhaps, then, it should be the ‘Turing–Gödel–Kreisel–Benacerraf maneuver/analysis/conclusion’.

  6. See, for example, ibid., p. 123.

  7. I have not presented all of the logicians and philosophers who have taken the response to the first mathematical objection that Turing does. A notable early example of such a response is made by Putnam in 1960: “Given an arbitrary machine T, all I can do is find a proposition U such that I can prove (3) If T is consistent, U is true, where U is undecidable by T if T is in fact consistent. However, T can perfectly well prove (3) too! And the statement U, which T cannot prove (assuming consistency), I cannot prove either (unless I can prove that T is consistent, which is unlikely if T is very complicated)!” (Putnam 1960, p. 77, emphasis in original). It is therefore preferable to have some name for this response other than hyphenating the names of luminaries who make this response to the first mathematical objection.

  8. Arguments that Turing intended his test to have related, but different empirical content can be found in Dennett’s 1985 postscript to his paper ‘Can Machines Think’ (Dennett 1985, p. 21).

  9. The transcripts of the competitors for the ‘Loebner Prize’ are striking instances of these; see links from http://www.loebner.net/Prizef/loebner-prize.html for examples.

  10. I use the word ‘created’ here instead of ‘designed’, as Bringsjord et al. do, since design seems to give away at least some of what is at stake. Things that are designed typically are intended to behave in some way conceived by the designer, whereas created objects may not—e.g. the described creation, by God, of free human beings in Genesis.

References

  • Block, N. (1981). Psychologism and behaviorism. The Philosophical Review, 90(1), 5–43.

    Article  Google Scholar 

  • Bringsjord, S., Bello, P., & Ferrucci, D. (2001). Creativity, the Turing Test, and the (better) Lovelace Test. Minds and Machines, 11, 3–27.

    Article  MATH  Google Scholar 

  • Copeland, B. J. (Ed.) (2004). The essential Turing. Oxford University Press.

  • Dennett, D. (1998/1985). Can machines think with postscripts 1985 and 1997?. In Brainchildren: Essays on designing minds. MIT Press.

  • Dennett, D. (2001). In Darwin’s wake, where am I? Proceedings and Addresses of the American Philosophical Association, 75, 11–30.

    Google Scholar 

  • Fodor, J. (1992). The big idea: Can there be a science of mind? Times Literary Supplement, 5–7.

  • Furukawa, K., Michie, D., & Muggleton, S. (Eds.) (1999). Machine intelligence, Vol. 15. Oxford University Press.

  • Koza, J. R. (1999). Genetic programming III: Darwinian invention and problem solving. Morgan Kaufmann.

  • Lucas, J. (1961). Minds, machines, and Gödel. Philosophy, XXXVI, 112–127.

  • Newell, A., & Simon, H. A. (1997/1976). Computer science as empirical inquiry: Symbols and search, Vol. 19. MIT Press. Presented as the Tenth Turing Award Lecture, Published in the Communications of the Association for Computing Machinery, pp. 113–126.

  • Penrose, R. (1994). Shadows of the mind. Vintage.

  • Piccinini, G. (2003). Alan Turing and the mathematical objection. Minds and Machines, 13, 23–48.

    Google Scholar 

  • Purtill, R. L. (2004/1971). Beating the imitation game. MIT Press. Originally Published 1971 in Mind, 80, 318, 290–294.

  • Putnam, H. (1964/1960). Minds and machines. In A. R. Anderson (Ed.), Minds and machines. Prentice-Hall. Originally Published in Dimensions of Mind, Sidney Hook (Ed.).

  • Rogers, H. (1967). Theory of recursive functions and effective computability. MIT Press.

  • Sampson, G. (1973). In defence of Turing. Mind, 82(328), 592–594.

    Google Scholar 

  • Shapiro, S. (2003). Mechanism, truth, and Penrose’s new argument. Journal of Philosophical Logic, 32, 19–42.

    Article  MATH  MathSciNet  Google Scholar 

  • Turing, A. (1939). Systems of logic based on ordinals. Proceedings of the London Mathematical Society, 45, 161–228.

    Google Scholar 

  • Turing, A. (2004/1940). Letters on logic to Max Newman. In B. J. Copeland (Ed.), The essential Turing. Oxford University Press.

  • Turing, A. (2004/1947). Lecture on the automatic computing engine. In B. J. Copeland (Ed.), The essential Turing. Oxford University Press.

  • Turing, A. (2004/1948). Intelligent machinery. In B. J. Copeland (Ed.), The essential Turing. Oxford University Press.

  • Turing, A. (1950). Computing machinery and intelligence. Mind, 59(236), 433–460.

    Article  MathSciNet  Google Scholar 

  • Turing, A. (2004/1951a). Can digital computers think? In B. J. Copeland (Ed.), The essential Turing. Oxford University Press.

  • Turing, A. (2004/1951b). Intelligent machinery, a heretical theory. In B. J. Copeland (Ed.), The essential Turing. Oxford University Press.

  • Turing, A., Braithwaite, L. C., Jefferson, A. A., & Newman, E. (2004/1952). Can automatic calculating machine be said to think? In B. J. Copeland (Ed.), The essential Turing. Oxford University Press.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Darren Abramson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Abramson, D. Turing’s Responses to Two Objections. Minds & Machines 18, 147–167 (2008). https://doi.org/10.1007/s11023-008-9094-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11023-008-9094-6

Keywords