


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.
🗓︎Important Dates
Full Paper Submission Date: December 11, 2026
Notification of acceptance: January 11, 2027
Final Paper Submission Date: January 26, 2027
Registration Deadline: February 11
Conference Dates: February 26-28, 2027
🗺︎Venue
Guangzhou, China
📚︎Track 1: Multi-Agent Coordination and Collaboration Systems
Multi-Agent System Theory and Frameworks; Multi-Agent Coordination Mechanisms and Control; Multi-Agent Collaborative Operation Systems; Multi-Agent Interactive Communication Systems; Intelligent Multi-Agent Task Planning Systems; Multi-Agent Consistency Control Systems; General Agent-Based System Modeling; Fully Autonomous Agent System Design; Distributed Group Cooperative Systems; Multi-Agent System Stability Analysis;
📚︎Track 2: Multi-Agent Intelligent Learning and Optimization
Multi-Agent Reinforcement Learning Systems; Deep Learning for Multi-Agent Systems; Machine Learning Driven Agent Decision Systems; Game Theory Based Multi-Agent Optimization; Intelligent Policy Optimization for Agents; Multi-Agent Cooperative Learning Framework; Adaptive Learning System of Agent Group; Intelligent Evolution of Multi-Agent Behavior; Learning-Based Autonomous System Control; Multi-Agent Knowledge Learning and Reasoning;
📚︎Track 3: Distributed Control and Autonomous Systems
Multi-Agent Formation Control Systems; Distributed System Optimization Theory; Distributed Multi-Agent Control Systems; Cooperative Multi-Agent System Control; Swarm Robotics Intelligent Control Systems; Intelligent Task Allocation System for Agents; Autonomous Swarm System Scheduling Control; Distributed Collaborative Decision Systems; Autonomous System Fault-Tolerant Control; Dynamic Regulation of Distributed Systems;
📚︎Track 4: Computational Collective Intelligence Systems
Group Collective Intelligence System Modeling; Swarm Intelligent Computing and System Optimization; Collective Behavior Evolution Control Systems; Large-Scale Multi-Agent Group System Coordination; Collective Decision-Making Intelligent Systems; Emergent Intelligence in Complex Agent Systems; Collective Learning and Adaptive Systems; Group Intelligent Scheduling and Control Systems; Collective Intelligence Based System Regulation; Complex Group System Dynamic Balance Control;
📚︎Track 5: Intelligent Internet and Distributed Systems
Intelligent Internet Multi-Agent Networking Systems; Internet Agent Distributed Perception Systems; Intelligent Network Cooperative Control Systems; Edge Internet Autonomous Agent Systems; Networked Multi-Agent Intelligent Interaction; Intelligent Internet System Resource Scheduling; Distributed Internet Intelligent Control Framework; Internet-Based Collective Intelligent Systems; Network Agent Security and Stability Control; Intelligent Internet System Collaborative Optimization;
📚︎Track 6: Vision Perception and Intelligent Agent Systems
Vision Perception Driven Agent Control Systems; Image Intelligent Understanding for Multi-Agent Systems; Visual Information Fusion Agent Decision Systems; Intelligent Image Processing for Swarm Agents; Visual Target Tracking Agent Systems; Multimodal Perception Agent System Framework; Image Feature Learning for Agent Intelligence; Vision-Based Autonomous System Regulation; Intelligent Signal Processing for Agent Systems; Visual Scene Understanding Group Systems;
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.

