Feigenbaum test
From Wikipedia, the free encyclopedia
Template:Short description A Feigenbaum 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 subject matter expert Turing 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
Notes
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References
- Page Module:Citation/CS1/styles.css has no content.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.
- Page Module:Citation/CS1/styles.css has no content.Kurzweil, Ray (2005). The Singularity is Near. Penguin Books. ISBN 0-670-03384-7.
- Page Module:Citation/CS1/styles.css has no content.McCorduck, Pamela (2004), Machines Who Think (2nd ed.), Natick, Massachusetts: A. K. Peters, ISBN 1-5688-1205-1, p. 503-505
Further reading
- Page Module:Citation/CS1/styles.css has no content.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.
