从复杂性科学到人工智能2024年诺贝尔奖启示录

打开文本图片集

中图分类号：N941.4 文献标志码：A 文章编号： 1000-5013（2026）01-0001-10

Abstract：The interdisciplinary awarding of the Nobel Prize in 2O24 marks a historic shift in the paradigm of scientific cognition. The Physics Prize is awarded to the founders of neural network theory，the Chemistry Prize focuses on AI driven breakthroughs in life sciences，and the Physiology and Economics Prizes both point to the study of complex systems.This article reveals the bidirectional empowerment mechanism between complexity science and artificial intellgence by analyzing the deep correlation between Nobel Prizeachievements： on one hand，physical models and statistical mechanics provide theoretical foundations for AI；On the other hand，deep learning is reshaping the patern of scientific discovery. The melting of disciplinary boundaries not only promotes the reconstruction of knowledge systems， but also paves new paths toward addressing major challenges facing humanity.

Keywords：complexity science；artificial inteligence；interdisciplinary research； neural network；Nobel Prize

2024年，诺贝尔物理学奖授予美国科学家约翰·J·霍普菲尔德（JohnJ．Hopfield）和加拿大科学家杰弗里·E·辛顿（GeoffreyE.Hinton），以表彰他们“在实现使用人工神经网络进行机器学习方面的基础性发现和发明”。（剩余16311字）