SIAM Journal on Applied Mathematics
Coalition structure generation with worst case guarantees
Artificial Intelligence
Congregation Formation in Multiagent Systems
Autonomous Agents and Multi-Agent Systems
Coalition formation with uncertain heterogeneous information
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
LOTTO: group formation by overhearing in large teams
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Self-organization through bottom-up coalition formation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Organization-Based Cooperative Coalition Formation
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A survey of multi-agent organizational paradigms
The Knowledge Engineering Review
Collaboration among a satellite swarm
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
An equal excess negotiation algorithm for coalition formation
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
An Application of Automated Negotiation to Distributed Task Allocation
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Overlapping coalition formation for efficient data fusion in multi-sensor networks
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
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Physical agents such as robots are generally constrained in their communication capabilities. In a multi-agent system composed of physical agents, these constraints have a strong influence on the organization and the coordination mechanisms. Our multi-agent system is a satellite constellation, for which we propose a collaboration method based on incremental coalition formation in order to optimize individual plans and satisfy collective objectives. This involves a communication protocol and two coordination mechanisms: (1) an incentive to join coalitions and (2) coalition minimization. Results on a simulated satellite constellation are presented and discussed.