An asynchronous complete method for distributed constraint optimization
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Solving Distributed Constraint Optimization Problems Using Cooperative Mediation
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Impact of problem centralization in distributed constraint optimization algorithms
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
No-commitment branch and bound search for distributed constraint optimization
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Message delay and DisCSP search algorithms
Annals of Mathematics and Artificial Intelligence
Measurement techniques for multiagent systems
PerMIS '08 Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
Coordinating logistics operations with privacy guarantees
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
DeQED: an efficient divide-and-coordinate algorithm for DCOP
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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The proliferation of mobile computers---such as laptops, personal digital assistants, and smart phones---has propelled distributed computing into mainstream society. Over the past decade these technologies have spurred interest in both decentralized multiagent systems and wireless mobile ad-hoc networks. Such networks, however, present many challenges to information sharing and coordination. Interference, obstacles, and other environmental effects conspire with power-and processing-limited hardware to impose a number of challenging networking characteristics. Messages are routinely lost or delayed, connections may be only sporadically available, and network transfer capacity is nowhere near that available on modern wired networks. It is therefore imperative to emphasize local decision making and autonomy over a centralized analogue, insofar as it is possible. The majority of such decentralized decision making can be seen as a fundamental problem of propagating and then solving systems of constraints, otherwise known as Distributed Constraint Reasoning (DCR).