About IC-FMAS 2027
2027 International Conference on Frontiers of Multi-Agent Systems (IC-FMAS 2027) will be held on February 26–28, 2027 in Guangzhou, China.
IC-FMAS 2027 aims to bring together leading researchers, engineers, and practitioners from around the world in the field of multi-agent systems to explore cutting-edge theoretical advances and practical applications, and to foster international academic exchange and collaboration. Focusing on core areas such as agent-based modeling and simulation, cooperative and distributed decision-making, multi-agent learning, robot swarms, and agent-oriented software engineering, IC-FMAS 2027 is dedicated to advancing the frontiers of intelligent autonomous systems and collective intelligence. The conference will cover multiple dimensions, including foundational theories, algorithmic innovations, and real-world deployments, striving to provide participants with a high-level interdisciplinary platform for exchanging ideas and insights.
As a premier international event dedicated to multi-agent systems research, IC-FMAS 2027 not only inherits the strong traditions of related conferences in artificial intelligence, robotics, and complex systems but also fully integrates the latest global trends in agent technologies and their societal impacts. It aims to drive scientific research and technological progress in relevant disciplines in China, support intelligent decision-making and autonomous coordination across industries, and contribute to building a more intelligent, cooperative, and resilient digital society.
We warmly welcome scholars, researchers, and professionals from around the world to actively participate, join hands in this grand event, and together open a new chapter in the era of intelligent multi-agent collaboration.
Conference Info.
🗓︎Important Dates
Full Paper Submission Date: January 15, 2027
Notification of acceptance: January 25, 2027
Final Paper Submission Date: February 2, 2027
Conference Dates: February 26-28, 2027
🗺︎Venue
Guangzhou, China
Call For Papers
📚︎Multi-Agent Coordination
Multi-Agent Systems; Multi-Agent Coordination; Multi-Agent Collaboration; Multi-Agent Communication; Multi-Agent Planning; Multi-Agent Consensus; Agent-Based Systems; Autonomous Agent Systems;
📚︎Multi-Agent Reinforcement Learning
Reinforcement Learning; Deep Learning; Machine Learning; Game Theory; Policy Optimization; Cooperative Learning;
📚︎Distributed Control and Autonomous Systems
Formation Control; Distributed Optimization; Distributed Multi-Agent Control; Cooperative Multi-Agent Control; Swarm Robotics; Task Allocation;
Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.