Conference Tracks 专题论坛
Track 3: Multi-agent Collaborative Decision-making in 6G Networks | 6G网络中的多智能体协作决策
Organizers / 组织者信息
Chairs / 主席
Guangdong University of Technology (广东工业大学)
Professor (教授)
Xi'an Jiaotong University (西安交通大学)
Professor (教授)
University of Electronic Science and Technology of China / UESTC (电子科技大学)
Associate Professor (副教授)
Co-Chairs / 共同主席
Beijing University of Posts and Telecommunications (北京邮电大学)
Associate Researcher (副研究员)
Shandong Computer Science Center (National Supercomputing Center in Jinan) (山东省计算中心(国家超级计算济南中心))
University of Electronic Science and Technology of China / UESTC (电子科技大学)
Associate Professor (副教授)
Track Committee / 专题委员
Southern University of Science and Technology (南方科技大学)
Xidian University (西安电子科技大学)
Great Bay University (大湾区大学)
Xi'an Jiaotong-Liverpool University (西交利物浦大学)
Abstract / 论坛简介
English: With the explosive growth in the number of AI agents and their deep integration with 6G networks, adaptive, scalable, and interpretable collaborative decision-making among large-scale heterogeneous autonomous agents has become a core challenge that urgently needs to be addressed. Traditional rule-based communication architectures struggle to support the adaptive collaboration demands among multiple agents in dynamic and open environments, and an information island exists between the network and agents in perception and decision-making. This forum focuses on "Multi-Agent Collaborative Decision-Making in 6G Networks", exploring how knowledge-driven autonomous agent systems evolve from passive information transmission to mission-driven active coordination, promoting cross-layer innovation in network architecture, collaboration mechanisms, and intelligent algorithms, and providing theoretical and technical support for building open, trustworthy, and resilient next-generation autonomous intelligent networks.
中文: 随着AI智能体数量的爆发式增长及其与6G网络的深度融合,大规模异构自主智能体之间的自适应、可扩展且可解释的协作决策成为亟待突破的核心挑战。传统基于规则的通信架构,难以支撑动态开放环境下多个智能体之间的自适应协作需求,网络与智能体之间存在感知与决策的信息孤岛。本论坛聚焦"6G网络中的多智能体协作决策",探讨知识驱动的自主智能体系统如何从被动信息传递向任务驱动的主动协调演进,推动网络架构、协同机制与智能算法的跨层创新,为构建开放、可信、弹性的下一代自主智能网络提供理论与技术支撑。
Topics / 主题范围
- LLMs & Foundation Models / 大语言模型与基础模型
- Knowledge-Driven Multi-Agent Collaborative Decision-Making Theory / 知识驱动的多智能体协同决策理论
- Mission-Centric Networking and Coordination Architectures / 任务驱动的网络协同架构
- 6G Communications and Multi-Agent Learning Integration / 6G通信与多智能体学习融合
- Large Models and Knowledge Representation Techniques / 大模型与知识表征技术
- Resource Allocation and Mission Orchestration Optimization / 资源分配与任务编排优化
- Adaptive Coordination in Dynamic and Uncertain Environments / 动态不确定环境下的自适应协同
Invited Speakers / 特邀报告嘉宾
Southern University of Science and Technology (南方科技大学)
Zhejiang University (浙江大学)
Beijing University of Posts and Telecommunications (北京邮电大学)
Northeastern University (东北大学)
The University of Hong Kong (香港大学)
Assistant Professor (助理教授)
Nanjing University of Posts and Telecommunications (南京邮电大学)
Beijing University of Posts and Telecommunications (北京邮电大学)
Xidian University (西安电子科技大学)
* Intended invited speakers / 拟邀请报告人(待确认)