电子科技大学学报2024，Vol.53Issue(3)：455-461,7.DOI:10.12178/1001-0548.2023257
人工智能驱动的复杂系统研究前沿
Advancements in Artificial Intelligence-Driven Complex Systems Research
摘要
Abstract
Spanning across disciplines with research interests in fundamental matter,life forms,and societal dynamics,the study of complex systems plays a pivotal role in deciphering and forecasting natural and social phenomena,thereby confronting intricate problems of human concern.The wealth of diverse real-world complex system data accumulated through early research has paved the way for a novel paradigm in complexity science research,which is intensively data-driven and steered by Artificial Intelligence(AI)methodologies.This innovative approach provides fresh insights into the characterization,forecasting,and knowledge extraction of complex systems.This article offers a visionary review of AI-driven studies in complex systems,highlighting the pioneering developments spearheaded by AI.It further scrutinizes exemplary works in the domain that leverage AI methodologies and concludes by contemplating the prospective evolution of AI theory and techniques under the lens of complex systems.关键词
复杂系统/人工智能/机器学习/数据科学Key words
complex system/artificial intelligence/machine learning/data science分类
信息技术与安全科学引用本文复制引用
丁璟韬,徐丰力,孙浩,严钢,胡延庆,李勇,周涛..人工智能驱动的复杂系统研究前沿[J].电子科技大学学报,2024,53(3):455-461,7.基金项目
国家重点研发计划(2022YFC3303102) （2022YFC3303102）
