摘要
通过讨论有理解力的人工智能这个概念所存在的问题及其原因,试图说明:人工智能,目前重要的不是停留在哲学概念层面的模糊探讨,而是应该借鉴飞机的设计史,发展自己的基础理论(像飞机的空气动力学);进而,发展一门像空气动力学这样的基础理论,可以借鉴牛顿力学的发展历程,发展更加强大的数学来支撑人工智能的变革。
This paper points out that the concept of "AI that understands" is not a good concept, and the most important thing in AI research is not to stay at the discuss on the philosophy level. It should learn from the history of plane design to develop its own aerodynamics. Further more, if AI wants to develop its own aerodynamics, it should learn from Newtonian mechanics and needs more powerful mathematics tool for its revolution.
作者
沈宏梁
SHEN Hong-liang(Princeton Institute of Intelligent Exploration and Application,Princeton NJ 08540,USA)
出处
《自然辩证法研究》
CSSCI
北大核心
2021年第7期52-57,共6页
Studies in Dialectics of Nature