人工智能面临的复杂性挑战
Complexity Challenges for Artificial Intelligence
任然 1Francesco Di Iorio1
作者信息
摘要
随着近年来人工智能和复杂性科学的发展,复杂性挑战不仅延续到智能系统中,而且围绕着计算复杂性问题展开.生成式人工智能的兴起彻底颠覆了以往对复杂性问题的认知,不仅涉及智能系统的复杂性,而且涉及自然系统的复杂性,探讨了许多新的问题,例如如何解决"生成难度"问题,提出了 一些应对挑战的方法论原则,例如奥卡姆剃刀原则,深化了我们对有关认识论和方法论问题的思考.
Abstract
With the recent development of artificial intelligence and complexity science,the complexity challenge not only carries over to intelligent sys-tems,but also revolves around computational complexity problems.The rise of generative AI has completely subverted the previous cognition of the com-plexity problem,and many new questions have emerged,such as how to solve the"generative difficulty"problem,and some methodological principles to cope with the challenge,such as the principle of Occam's razor,which has deepened our thinking about the epistemological and methodological issues.
关键词
人工智能/计算复杂性/生成式人工智能/复杂性挑战Key words
artificial intelligence/computational complexity/generative artificial intelligence/complexity challenges引用本文复制引用
基金项目
国家社会科学基金重点项目(22AZX019)
出版年
2024
NETL
NSTL
万方数据