迈向人类水平的机器智能

L. Zadeh
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引用次数: 9

摘要

机器会思考吗?半个多世纪以来,这个问题一直是讨论和辩论的对象。我对这个问题的兴趣可以追溯到我学术生涯的开始。根据官方说法,人工智能诞生于1956年。在它诞生之初,人们普遍预计,在几年内,将有可能制造出像人类一样思考的机器。我不这么认为。对先驱者来说,符号逻辑就是所需要的一切。任何涉及数值计算的东西都不受欢迎。概率论花了将近30年的时间才勉强被接受。显然,将概率论添加到人工智能的装备中是朝着正确方向迈出的一步。但这就足够了吗?在我看来,答案是否定的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward Human-Level Machine Intelligence
Can machines think? This question has been an object of discussion and debate for over half-a-century. My interest in the question goes back to the beginning of my academic career. Officially, AI was born in l956. At its birth there was widespread expectation that within a few years it will be possible to build machines that could think like humans. I did not share that belief. To the pioneers, symbolic logic was all that was needed. Anything that involved numerical computations was unwelcome. It took close to thirty years for probability theory to gain grudging acceptance. Clearly, adding probability theory to the armamentarium of AI is a step in the right direction. But is it sufficient? In my view, the answer is: No.
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