AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Taking DCOP to the Real World: Efficient Complete Solutions for Distributed Multi-Event Scheduling
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Distributed management of flexible times schedules
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Commitment-driven distributed joint policy search
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Decentralised coordination of low-power embedded devices using the max-sum algorithm
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Predictability & criticality metrics for coordination in complex environments
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
On modeling multiagent task scheduling as a distributed constraint optimization problem
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A scalable method for multiagent constraint optimization
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
Stochastic dominance in stochastic DCOPs for risk-sensitive applications
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
DCOPs and bandits: exploration and exploitation in decentralised coordination
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Determining the value of information for collaborative multi-agent planning
Autonomous Agents and Multi-Agent Systems
Dynamic multiagent load balancing using distributed constraint optimization techniques
Web Intelligence and Agent Systems
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Coordination of agent activites in non-deterministic, distributed environments is computationally difficult. Distributed Constraint Optimization (DCOP) provides a rich framework for modeling such multi-agent coordination problems, but existing representations, problem domains, and techniques for DCOP focus on small ( These types of real-time domains require distributed, scalable algorithms to meet difficult bounds on computation and communication time. To achieve this goal, we develop a new distributed neighbor exchange algorithm for DCOPs that scales to problems involving hundreds of variables and constraints and offers faster convergence to high quality solutions than existing DCOP algorithms. In addition, our complete solution includes new techniques for dynamic distributed constraint optimization and uncertainty in constraint processing. We validate our approach using test scenarios from the DARPA Coordinators program and show that our solution is very competitive with existing approaches.