Track 02 of 09
Multi-Agent Systems and Collaborative Intelligence
Coordination, negotiation, communication and emergent behaviour among multiple autonomous entities — software agents, robot teams, vehicle fleets and mixed human–agent teams.
Scope
Coordination, negotiation, communication and emergent behaviour among multiple autonomous entities — software agents, robot teams, vehicle fleets and mixed human–agent teams.
Research topics
Topics include, but are not limited to:
- Multi-agent reinforcement learning
- Task and resource allocation
- Auction and market mechanisms
- Consensus and distributed optimisation
- Swarm intelligence
- Formation control
- Inter-agent communication protocols and languages
- Coalition formation
- Game-theoretic coordination
- Mixed human–agent teaming
- Credit assignment
- Scalability to large fleets
Emerging challenges
- Non-stationarity in learning
- Emergent unsafe behaviour
- Communication bandwidth and loss
- Partial observability
- Heterogeneous agent capability
- Trust and reputation between agents
- Adversarial agents in open systems
Industry applications
- AMR/AGV fleet management in warehouses
- Multi-drone inspection
- Cooperative agricultural machinery
- Port and yard automation
- Distributed energy trading and grid balancing
- Traffic-signal coordination
Keywords
Every submission must connect to physical action, embodiment or real-world deployment, use the IEEE conference format (A4, up to 6 pages including references) and include a Deployment Risk and Limitations statement (max. 200 words). Submission guidelines →