系统仿真学报 ›› 2025, Vol. 37 ›› Issue (7): 1607-1623.doi: 10.16182/j.issn1004731x.joss.25-0451

• 特约综述 • 上一篇    下一篇

人工智能时代的仿真科学与工程思考

范文慧, 蒋沅   

  1. 清华大学 自动化系,北京 100084
  • 收稿日期:2025-05-20 修回日期:2025-06-12 出版日期:2025-07-18 发布日期:2025-07-30
  • 第一作者简介:范文慧 1966年生,清华大学自动化系教授,博士生导师,中国仿真学会会士。曾任中国仿真学会常务副理事长、清华大学自动化系副主任与新疆大学电气工程学院院长(援疆)。现任中国仿真学会复杂系统建模与仿真、CAE仿真专业委员会主任,《复杂系统建模与仿真》期刊(英文)创刊人主编与 《系统仿真学报》顾问。长期从事复杂系统建模与仿真、人工智能与仿真的研究及教学工作。先后主持完成了多项国家、省部级重点科研课题,获得国家科技进步奖1项、省部级科技进步奖多项;出版专著5部、译著2部;发表论文120余篇,其中SCI收录30余篇。
    范文慧(1966-),男,教授,博士,研究方向为复杂系统建模与仿真。

Thinking on Simulation Science and Engineering in the Era of Artificial Intelligence

Fan Wenhui, Jiang YuanChiang Yuan   

  1. Department of Automation, Tsinghua University, Beijing 100084, China
  • Received:2025-05-20 Revised:2025-06-12 Online:2025-07-18 Published:2025-07-30

摘要:

随着人工智能与计算机技术迅猛发展,仿真技术也取得了跨越式发展,有力推动了仿真学科逐步走向成熟。综述了国内外相关计算机仿真技术研究进展,阐述了仿真定义与内涵,建议中文“仿真”“仿效”和“模拟”都统一为“仿真”,英文“Simulation”“Emulation”和“Analog”统一翻译为“Simulation”;定义了仿真科学与工程学科,总结了仿真科学与工程的相似理论、计算理论、模型验证理论3种基础理论,并建议一级学科为仿真科学与工程;归纳提出了仿真科学与工程的数值仿真、统计仿真、智体仿真、视景仿真与共生仿真5种理论与方法,并将其建议为二级学科;分析概括了人工智能时代的仿真应用;从5个方面给出了人工智能时代的计算机仿真技术进展,详细阐述机器学习、深度学习、强化学习、生成对抗网络、物理信息神经网络、大语言模型在计算机仿真领域的应用。

关键词: 人工智能, 仿真科学, 仿真工程, 仿真方法, 仿真技术

Abstract:

With the rapid advancement of artificial intelligence and computing technologies, simulation technologies have leapfrogged, propelling the discipline of simulation toward greater maturity. Research progress in computer simulation technologies both in China and abroad was reviewed, and the definition and connotation of simulation were clarified. It was proposed that the Chinese terms "仿真" "仿效"and "模拟" be unified under a single term "仿真" with corresponding "Simulation" "Emulation" and "Analog" in English translated uniformly as "Simulation". Simulation science and engineering discipline was delineated, which was grounded in three core theoretical foundations: analogical theory, computational theory, and model validation theory. The first-level discipline was proposed to be simulation science and engineering. Five theories and methodologies were introduced, including numerical simulation, statistical simulation, intelligent-agent simulation, visual simulation, and symbiotic simulation, which were suggested as second-level disciplines. This article analyzed and summarized the simulation applications in the era of artificial intelligence (AI). Developments in computer simulation technologies in the era of AI were summarized across five key domains,elaborating the application in the simulation of machine learning, deep learning, reinforcement learning, generative adversarial networks, physics-informed neural networks, and large language models.

Key words: artificial intelligence, simulation science, simulation engineering, simulation method, simulation technology

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