摘要
当前,一种从量子视角来研究人工智能的新方法——人工智能的量子方法——逐渐为人们所熟知,成为人工智能重要的研究方法之一。脑量子场论、神经系统的量子态论和微管引力理论都为人工智能的量子方法提供了理论依据,夯实了研究基础。较之以往的研究方法,人工智能的量子方法避免了复杂的函数运算过程,对信息处理的速度更快,还极大地丰富了人工智能的研究方法和内容。但与此同时,人工智能的量子方法所面临的困难也是显而易见的,既有技术层面难以突破的瓶颈,还面临着认知科学的严峻挑战,甚至也难以构建"现象心灵"。对于人工智能的量子方法,我们在积极看待的同时,还须保持谨慎的态度。
Nowadays,the quantum method of artificial intelligence,a new method to study artificial intelligence from the perspective of quantum theory,is gradually becoming well known as one of the important research methods of artificial intelligence. The quantum field theory of brain,the quantum state theory of neuronal system and the gravity theory of microtubule all provide theoretical basis for the quantum methods of artificial intelligence,and lay a solid foundation for the research. Compared with the previous research methods,the quantum method of artificial intelligence not only avoids the complex functional operation process,providing a faster speed of information processing,but also greatly enriches the research methods and contents of artificial intelligence. At the same time,the difficulties faced by the quantum methods of artificial intelligence are also obvious. There are technical bottlenecks which are difficult to break through,facing the severe challenges of cognitive science as well. It is even difficult to build a "phenomenon soul". For the quantum method of artificial intelligence,we should keep a cautious attitude while taking a positive view.
作者
陈向群
郭喨
CHEN Xiang-qun;GUO Liang(School of Humanities,Nanchang University,Nanchang 330031,China;Center for Science,Technology and Law,Zhejiang University,Hangzhou 310008,China)
出处
《科学技术哲学研究》
CSSCI
北大核心
2019年第2期8-13,共6页
Studies in Philosophy of Science and Technology
关键词
人工智能
量子方法
微管引力理论
artificial intelligence
quantum methods
the gravity theory of microtubule