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10 - Turing2014: Tests at The Royal Society, June 2014

from PART TWO

Published online by Cambridge University Press:  12 October 2016

Kevin Warwick  and
Huma Shah
Kevin Warwick
Affiliation:
Coventry University
Huma Shah
Affiliation:
Coventry University
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Summary

Turing's imitation experiment can be regarded as a:

  1. (a) A game for judges: to avoid being persuaded by a machine that it is human;

  2. (b) A game for the machines: to persuade the judges that they/it are the human;

  3. (c) A game for hidden humans: be human with all the constraints about not revealing personal identity;

  4. (d) A game for the observer, to study and compare the results.

It is worth pointing out here that turning Turing's idea into a practical

means of examining machine thinking is fraught with problems, for example:

  1. (a) matching the machines with ‘like’ humans for simultaneous comparison or in a viva voce experiment;

  2. (b) lack of resources for conducting psychological tests; personality and typing speed of the Judges and hidden humans.

In the case of Eugene Goostman, a machine which simulates an English speaking young teen from Odessa, Ukraine, it is not difficult to pair the machine with a human teenager, the pair being interrogated by a teenage judge. However, what is difficult is recruiting the exact match: a teenager from the Ukraine who speaks English.

At the other end of the machine conversation spectrum, Elbot is a machine with a robot personality; it would be futile to recruit a human to act like a robot, because the Turing test is concerned with the hidden entities providing satisfactory and sustained answers to any questions.

When it comes to testing the personality of human interrogator judges and the hidden humans or checking for characteristics such as typing speed, it would add an interesting dimension to the experiment.

A Turing test is a scientific experiment in that a set of conditions, the duration of tests, the number/nature of participants – human or machine, can be put in place for observation and measurement, and be repeatable. Adding new features, therefore, would also mean new challenges.

In Chapter 8 we presented the Turing test experiment at Bletchley Park in 2012. That was concerned mainly with finding which of Turing's two scenarios for implementing his imitation game – the one-to-one viva voce or the simultaneous comparison – was harder for the machine when trying to convince the human judges that it was a human.

Type
Chapter
Information
Turing's Imitation Game
Conversations with the Unknown
 , pp. 171 - 186
Publisher: Cambridge University Press
Print publication year: 2016

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References

Demchenko, E. and Veselov, V. (2008). Who fools whom? The great mystification, or methodological issues on making fools of human beings. In Parsing the Turing Test: Philosophical and Methodological Issues in the Quest for the Thinking Computer R., Epstein, G., Roberts, and G., Beber (eds). Springer. pp. 447-459.
Shah, H. and Pavlika, V. (2005). Text-based dialogical e-query systems: gimmick or convenience? In Proc. 10th Int. Con. Speech and Computers (SPECOM), Patras, Greece, Vol. II, pp. 425–428.Google Scholar
Shah, H., Warwick, K., Bland, I., Chapman, C.D., and Allen, M.J. (2012) Turing's imitation game: role of error-making in intelligent thought. In Turing in Context II, Brussels, pp. 31–32. http://www.computingconference.ugent.be/file/ 14.
Turing, A.M. (1950). Computing machinery and intelligence. Mind LIX (236), 433–460.Google Scholar
Turing, A.M. (1951). Intelligent machinery, a heretical theory. In Alan Turing: HisWork and Impact, S.B., Cooper and J. van, Leeuwen (eds). Elsevier, pp. 664–666.Google Scholar
Warwick, K. and Shah, H. (2014). Good machine performance in practical Turing tests. IEEE Trans. on Computat. Intell. and AI in Games 6 (3), 289–299.Google Scholar
Warwick, K. and Shah, H. (2015). Can machines think? A report on Turing test experiments at the Royal Society, J. Exper. Theoret. Artif. Intell., 19 pages, DOI: 10.1080/0952813X.2015.1055826.
Warwick, K., Shah, H. and Moor, J.H. (2013). Some implications of a sample of practical Turing tests. Minds and Machines 23, 163–177.Google Scholar

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