David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Behavior and Philosophy 20 (21):63-74 (1993)
The Turing Test is a verbal-behavioral operational criterion of artificial intelligence. If a machine can participate in question–and–answer conversation adequately enough to deceive an intelligent interlocutor, then it has intelligent information processing abilities. Robert M. French has argued that recent discoveries in cognitive science about subcognitive processes involving associational primings prove that the Turing Test cannot provide a satisfactory criterion of machine intelligence, that Turing's prediction concerning the feasibility of building machines to play the imitation game successfully is false, and that the test should be rejected as ethnocentric and incapable of measuring kinds and degrees of nonhuman intelligence. But French's criticism is flawed, because it requires Turing's sufficient conditional criterion of intelligence to serve as a necessary condition. Turing's Test is defended against these objections, and French's claim that the test ought to be rejected because machines cannot pass it is deemed unscientific, resting on the empirically unwarranted assumption that intelligent machines are possible
|Keywords||Artificial Intelligence Behavior Cognition Science Test|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Bruce Edmonds (2000). The Constructability of Artificial Intelligence (as Defined by the Turing Test). Journal of Logic Language and Information 9 (4):419-424.
Benny Shanon (1989). A Simple Comment Regarding the Turing Test. Journal for the Theory of Social Behaviour 19 (June):249-56.
Robert M. French (2000). Peeking Behind the Screen: The Unsuspected Power of the Standard Turing Test. Journal of Experimental and Theoretical Artificial Intelligence 12 (3):331-340.
Jamie Cullen (2009). Imitation Versus Communication: Testing for Human-Like Intelligence. Minds and Machines 19 (2):237-254.
Stuart M. Shieber (2007). The Turing Test as Interactive Proof. Noûs 41 (4):686–713.
James H. Moor (2001). The Status and Future of the Turing Test. Minds and Machines 11 (1):77-93.
Saul Traiger (2000). Making the Right Identification in the Turing Test. Minds and Machines 10 (4):561-572.
Robert M. French (1990). Subcognition and the Limits of the Turing Test. Mind 99 (393):53-66.
Tyler Cowen & Michelle Dawson, What Does the Turing Test Really Mean? And How Many Human Beings (Including Turing) Could Pass?
Susan G. Sterrett (2000). Turing's Two Tests for Intelligence. Minds and Machines 10 (4):541-559.
Added to index2009-01-28
Total downloads17 ( #101,193 of 1,099,722 )
Recent downloads (6 months)6 ( #49,602 of 1,099,722 )
How can I increase my downloads?