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Alan Turing and the

Stevan Harnad

发表年份
2012
引用次数
2

摘要

The easy problem of cognitive science is explaining how and why we can do what we can do. The hard problem is explaining how and why we feel. Turing's methodology for cognitive science (the Turing Test) is based on doing: Design a model that can do anything a human can do, indistinguishably from a human, to a human, and you have explained cognition. Searle has shown that the successful model cannot be solely computational. Sensory-motor robotic capacities are necessary to ground some, at least, of the model's words, in what the robot can do with the things in the world that the words are about. But even grounding is not enough to guarantee that -- nor to explain how and why -- the model feels (if it does). That problem is much harder to solve (and perhaps insoluble).

关键词

Turing testTuringComputer scienceCognitive scienceCognitionTuring machineArtificial intelligenceRobotCognitive modelTest (biology)

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