人工智能时代下的复杂网络
Complex Network Science in the Era of Artificial Intelligence
刘家臻 1王寰东 1丁璟韬 1颜欢 1徐丰力 1范长俊 2李勇 1刘忠2
作者信息
- 1. 清华大学电子工程系,北京 100084
- 2. 国防科技大学系统工程学院,长沙 410073
- 折叠
摘要
人工智能(AI)在21世纪取得了革命性的突破,AI方法驱动的复杂网络研究新范式,将为复杂网络的描述、理解、预测与优化提供一条全新的路径.通过分析复杂网络科学研究面临的挑战和AI算法的深层联系,探讨了 AI在不同领域的复杂网络的应用,从基础设施网络、生态和生物网络、社交网络等不同类型网络展望了 AI驱动下的复杂网络未来研究发展方向.
Abstract
Artificial intelligence(AI)has made revolutionary breakthroughs in this century.The new paradigm of complex network research driven by AI methods provides a new path for the description,understanding,prediction and optimization of complex networks.By analyzing the current challenges faced by complex network scientific research and the deep connection of AI algorithms,the application of AI in complex networks in different fields is discussed.Finally,the future research development of complex network driven by AI is prospected from different types of networks such as infrastructure networks,ecological and biological networks,and social networks.
关键词
复杂网络/人工智能/机器学习/数据科学Key words
complex network/artificial intelligence/machine learning/data science引用本文复制引用
出版年
2024
NETL
NSTL
万方数据