Subject-matter expert Turing test
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A subject matter expert Turing test is a variation of the Turing test where a computer system attempts to replicate an expert in a given field such as chemistry or marketing. It is also known, as a Feigenbaum test[1] and was proposed by Edward Feigenbaum in a 2003 paper.[2]
The concept is also described by Ray Kurzweil in his 2005 book The Singularity is Near. Kurzweil argues that machines who pass this test are an inevitable consequence of Moore's Law.[3]
See also
[edit]- Subject-matter expert – Authority in a particular area or topic
- Turing test – Test of a machine's ability to imitate human intelligence
- Progress in artificial intelligence – How AI-related technologies evolve
Notes
[edit]- ^ McCorduck (2004, pp. 503–505)
- ^ Feigenbaum 2003
- ^ Kurzweil 2005
References
[edit]- Feigenbaum, Edward A. (2003). "Some challenges and grand challenges for computational intelligence". Journal of the ACM. 50 (1): 32–40. doi:10.1145/602382.602400. S2CID 15379263.
- Kurzweil, Ray (2005). The Singularity is Near. Penguin Books. ISBN 0-670-03384-7.
- McCorduck, Pamela (2004), Machines Who Think (2nd ed.), Natick, Massachusetts: A. K. Peters, ISBN 1-5688-1205-1, p. 503-505
Further reading
[edit]- Harel, David (2005). "A Turing-like test for biological modeling". Nature Biotechnology. 23 (4): 495–496. doi:10.1038/nbt0405-495. PMID 15815679. S2CID 34517208.
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