Multi Agent System
Multi-agent systems (MAS) research focuses on designing and analyzing systems composed of multiple interacting agents, aiming to achieve collective goals exceeding individual capabilities. Current research emphasizes efficient communication strategies within MAS, particularly leveraging large language models (LLMs) and incorporating techniques like Retrieval-Augmented Generation (RAG) to improve decision-making and reduce computational costs. This field is significant for advancing AI capabilities in complex problem-solving, with applications ranging from robotics and urban planning to financial modeling and software development. The development of robust and scalable frameworks, along with methods for handling malicious agents and model uncertainty, are key areas of ongoing investigation.
Papers
STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems
Shuo Yang, Hongrui Zheng, Cristian-Ioan Vasile, George Pappas, Rahul Mangharam
Opinion Dynamic Under Malicious Agent Influence in Multi-Agent Systems: From the Perspective of Opinion Evolution Cost
Yuhan Suo, Runqi Chai, Senchun Chai, Ishrak MD Farhan, Xudong Zhao, Yuanqing Xia
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent
Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen
Barriers on the EDGE: A scalable CBF architecture over EDGE for safe aerial-ground multi-agent coordination
Viswa Narayanan Sankaranarayanan, Achilleas Santi Seisa, Akshit Saradagi, Sumeet Satpute, George Nikolakopoulos
Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models
Zhihua Duan, Jialin Wang
Factorised Active Inference for Strategic Multi-Agent Interactions
Jaime Ruiz-Serra, Patrick Sweeney, Michael S. Harré
RoundTable: Investigating Group Decision-Making Mechanism in Multi-Agent Collaboration
Young-Min Cho, Raphael Shu, Nilaksh Das, Tamer Alkhouli, Yi-An Lai, Jason Cai, Monica Sunkara, Yi Zhang
Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision
Minah Lee, Uday Kamal, Saibal Mukhopadhyay
Multi-Agents are Social Groups: Investigating Social Influence of Multiple Agents in Human-Agent Interactions
Tianqi Song, Yugin Tan, Zicheng Zhu, Yibin Feng, Yi-Chieh Lee
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
Adam Fourney, Gagan Bansal, Hussein Mozannar, Cheng Tan, Eduardo Salinas, Erkang (Eric)Zhu, Friederike Niedtner, Grace Proebsting, Griffin Bassman, Jack Gerrits, Jacob Alber, Peter Chang, Ricky Loynd, Robert West, Victor Dibia, Ahmed Awadallah, Ece Kamar, Rafah Hosn, Saleema Amershi