A distributed constraint optimization approach for coordination under uncertainty

  • Authors:
  • James Atlas

  • Affiliations:
  • University of Delaware, Newark, DE

  • Venue:
  • Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
  • Year:
  • 2009

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Abstract

Distributed Constraint Optimization (DCOP) provides a rich framework for modeling multi-agent coordination problems. We present a mapping to DCOP for large-scale team coordination problems that were used in the DARPA Coordinators program. We develop a new DCOP algorithm that scales to this domain and show that our algorithm out-performs other DCOP algorithms for this domain. Our approach is competitive with other general approaches used in the DARPA Coordinators program.