Abstract
Turing wrote that the “guiding principle” of his investigation into the possibility of intelligent machinery was “The analogy [of machinery that might be made to show intelligent behavior] with the human brain.” [10] In his discussion of the investigations that Turing said were guided by this analogy, however, he employs a more far-reaching analogy: he eventually expands the analogy from the human brain out to “the human community as a whole.” Along the way, he takes note of an obvious fact in the bigger scheme of things regarding human intelligence: grownups were once children; this leads him to imagine what a machine analogue of childhood might be. In this paper, I’ll discuss Turing’s child-machine, what he said about different ways of educating it, and what impact the “bringing up” of a child-machine has on its ability to behave in ways that might be taken for intelligent. I’ll also discuss how some of the various games he suggested humans might play with machines are related to this approach.
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References
BCS Computer Conservation Society. Recollections of early AI in Britain: 1942 - 1965 (2002); (video for the BCS Computer Conservation Society’s October 2002 Conference on the history of AI in Britain) transcript (downloaded on March 25, 2012)
Floyd, J.: Turing, Wittgenstein, and Types: Philosophical Aspects of Turing’s ‘The Reform of Mathematical Notation and Phraseology’ (1944-1945). In: Barry Cooper, S., van Leeuwen, J. (eds.) Alan Turing - His Work and Impact. The Collected Works of A. M. Turing, revised edn. North-Holland, Elsevier (2001) (to appear)
James, W.: The Principles of Psychology, vol. I. Henry Holt and Company, New York (1890)
Michie, D.: Trial and Error. Science Survey, part 2, 129–145(1961)
Quinn, N.: Cultural Selves. Annals of the New York Academy of Sciences 1001, 145–176 (2003)
Sterrett, S.G.: Too Many Instincts: Contrasting Philosophical Views on Intelligence in Humans and Non-Humans. JETAI Journal of Experimental and Theoretical Artificial Intelligence 14(1), 39–60 (2002b); reprinted in: Ford, K., Glymour, C., Hayes, P. (eds.) Thinking About Android Epistemology. MIT Press (March 2006)
Sterrett, S.G.: Nested Algorithms and The Original Imitation Game Test: A Reply to James Moor. Minds and Machines 12, 131–136 (2002a)
Sterrett, S.G.: Turing’s Two Tests for Intelligence. Minds and Machines 10, 541–559 (2000); reprinted in: Moor, J.H. (ed.) The Turing Test: The Elusive Standard of Artificial Intelligence. Kluwer Academic (2003)
Turing, A.M.: Computing machinery and intelligence. Mind 59, 433–460 (1950)
Turing, A.M.: Intelligent Machinery. In: Turing, A.M., Ince, D.C. (ed.) Mechanical Intelligence, Collected Works, pp. 107–127. North Holland (1948/1992)
Wikipedia contributors. To Tell the Truth. Wikipedia, The Free Encyclopedia (January 27, 2012), Web (January 27, 2012)
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Sterrett, S.G. (2012). Bringing Up Turing’s ‘Child-Machine’. In: Cooper, S.B., Dawar, A., Löwe, B. (eds) How the World Computes. CiE 2012. Lecture Notes in Computer Science, vol 7318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30870-3_71
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DOI: https://doi.org/10.1007/978-3-642-30870-3_71
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