H. M. Collins (1997) The Editing Test for the Deep Problem of ai
. Psycoloquy: 8(01) Turing Test (8)
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Psycoloquy 8(01): The Editing Test for the Deep Problem of ai
THE EDITING TEST FOR THE DEEP PROBLEM OF AI
H. M. Collins
Commentary on Watt on Turing-Test
Centre for the Study of Knowledge, Expertise & Science
Department of Sociology and Social Policy
University of Southampton
Southampton SO17 1BJ UK
+44 (0)1703 592578 FAX 593859
All the problems of AI are surface transformations of one
deep problem: how to make a computer that can learn from its
surroundings, including social surroundings, in the same way that
humans learn. The Turing Test can be adapted to check whether or
not the deep problem has been solved by looking at one of its
surface transformations -- the problem of "interpretative
asymmetry." Interpretative asymmetry refers to the skillful way in
which humans "repair" deficiencies in speech, written texts,
handwriting, etc., and the failure of computers to achieve the same
interpretative competence. Short passages of typed text are quite
enough to reveal interpretative asymmetry, and therefore a
Turing-like test, turning on the differential ability to sub-edit
such short passages, is sufficient to reveal whether the deep
problem of AI has been solved.
False belief tests, folk psychology, naive psychology,
the "other minds" problem, theory of mind, the Turing test.
- Collins, H.M., (1990) Artificial Experts: Social Knowledge and Intelligent Machines, Cambridge Mass: MIT Press.
- Harnad, S., (1989) "Minds, Machines and Searle", Journal of Theoretical and Experimental Artificial Intelligence, 1, 5-25.
- Watt, S. (1996) Naive Psychology and the Inverted Turing Test. PSYCOLOQUY 7(14) turing-test.1.watt.