David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Minds and Machines 8 (2):263-272 (1998)
The paper examines the nature of the behavioral evidence underlying attributions of intelligence in the case of human beings, and how this might be extended to other kinds of cognitive system, in the spirit of the original Turing Test. I consider Harnad's Total Turing Test, which involves successful performance of both linguistic and robotic behavior, and which is often thought to incorporate the very same range of empirical data that is available in the human case. However, I argue that the TTT is still too weak, because it only tests the capabilities of particular tokens within a preexisting context of intelligent behavior. What is needed is a test of the cognitive type, as manifested through a number of exemplary tokens, in order to confirm that the cognitive type is able to produce the context of intelligent behavior presupposed by tests such as the TT and TTT
|Keywords||Artificial Intelligence Behavior Science Test Turing, A|
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Citations of this work BETA
Shane Legg & Marcus Hutter (2007). Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17 (4):391-444.
Robert French (2000). The Turing Test: The First Fifty Years. Trends in Cognitive Sciences 4 (3):115-121.
Paul Schweizer (2012). The Externalist Foundations of a Truly Total Turing Test. Minds and Machines 22 (3):191-212.
Carlo Penco (2012). Updating the Turing Test. Wittgenstein, Turing and Symbol Manipulation. Open Journal of Philosophy 2 (3):189-194.
Colin Hales (2010). The Well-Tested Young Scientist. International Journal of Machine Consciousness 2 (1):35-39.
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