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Why Heideggerian AI failed and how fixing it would require making it more Heideggerian

机译:为什么海德格尔AI失败以及如何解决将需要使其更像海德格尔

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摘要

When I was teaching at MIT in the early sixties, students from the Artificial Intelligence Laboratory would come to my Heidegger course and say in effect: "You philosophers have been reflecting in your armchairs for over 2000 years and you still don't understand how the mind works. We in the AI Lab have taken over and are succeeding where you philosophers have failed. We are now programming computers to exhibit human intelligence: to solve problems, to understand natural language, to perceive, and to learn."
机译:当我在六十年代初在麻省理工学院任教时,来自人工智能实验室的学生会来到我的海德格尔课程,并实际上说:“您的哲学家们已经在您的扶手椅上思考了2000多年,但您仍然不了解脑力劳动。我们在AI实验室中接管并成功实现了您的哲学家失败的地方。我们现在正在对计算机进行编程以展示人类的智能:解决问题,理解自然语言,感知和学习。”

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