An integrated token-based algorithm for scalable coordination
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A distributed framework for solving the Multiagent Plan Coordination Problem
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
The communicative multiagent team decision problem: analyzing teamwork theories and models
Journal of Artificial Intelligence Research
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Flood disaster mitigation: a real-world challenge problem for multi-agent unmanned surface vehicles
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Centralized and distributed task allocation in multi-robot teams via a stochastic clustering auction
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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In dangerous and uncertain environments initial plans must be revised. Communication failures hamper this replanning. We introduce fractured subteams as a novel formalism for modeling breakdowns in communication. We present a hybrid approach that employs distributed coordination mechanisms to provide robustness to these communication breakdowns and exploits opportunistic centralization. By modeling the problem as a mixed integer linear programming problem, we are able to apply constraint optimization techniques to efficiently find optimal or near optimal solutions to the difficult class of time critical tight coordination team planning problems. We then demonstrate that explicitly reasoning about communication failures through the incorporation of selective disruption minimization can improve team performance.