随着人工智能技术的快速迭代,多智能体建模与仿真技术（MAMS）得到了迅速发展,并成功运用于各个领域。首先介绍了MAMS的概念、技术优势、研究过程和应用现状,回顾了多智能体与系统动力学相结合的混合建模与仿真、多智能体强化学习的建模与仿真、大规模多智能体的建模与仿真的发展现状,对通用多智能体建模与仿真平台进行了比较分析。梳理了现有的MAMS平台和大模型时代多智能体技术与工具平台。系统总结了MAMS的研究现状,帮助学者快速了解AI时代MAMS的发展,总结了不同MAMS平台的优势和不足,为MAMS的进一步发展指明了方向。
Abstract
With the rapid iteration of artificial intelligence technology, multi-agent modeling and simulation technology (MAMS) has developed rapidly and been successfully applied in various fields. This article firstly introduces the concept, technical advantages, research process, and application status of MAMS. It reviews the development of hybrid modeling and simulation combining multi-agent and system dynamics, modeling and simulation of multi-agent reinforcement learning, and modeling and simulation of large-scale multi-agent systems. A comparative analysis is conducted on the general multi-agent modeling and simulation platform. Finally, the existing MAMS platforms and multi-agent technology and tool platforms in the era of large models are introduced. This article systematically summarizes the current research status of MAMS, helping scholars quickly understand the development of MAMS in the AI era, summarizing the advantages and disadvantages of different MAMS platforms, and pointing out the direction for further development of MAMS.
关键词
人工智能 /
系统动力学 /
强化学习 /
大规模多智能体
Key words
artificial intelligence /
system dynamics /
reinforcement learning /
large-scale multi-agent
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基金
河南省职业教育教学改革研究与实践项目,项目编号：豫教202158077
