A robust architecture for distributed inference in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
A scalable method for multiagent constraint optimization
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The generalized distributive law
IEEE Transactions on Information Theory
Cluster Tree Elimination for Distributed Constraint Optimization with Quality Guarantees
Fundamenta Informaticae - RCRA 2008 Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion
Autonomous Agents and Multi-Agent Systems
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In this paper we make three main contributions (fully detailed in [5]). Firstly, we formulate a new algorithm, the so-called Action-GDL, which extends GDL [1] to apply it to Distributed Constraint Optimization Problems (DCOPs). Secondly, we show that Action-GDL generalizes DPOP[4], a low-complexity, state-of-the-art algorithm to solve DCOPs. Finally, we provide empirical evidence showing that Action-GDL can outperform DPOP in terms of the amount of computation, communication and parallelism.