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Publication in EndNote Format

%0 Conference Proceedings %A Zimmerman, T. and Barbulescu, L. and Rubinstein, Z, and Smith, S. and Wilkins, D. E. %T Distributed Scheduling Agents for Disaster Response %B Proceedings of the ICAPS 2010 Scheduling and Planning Applications woRKshop %C Toronto, Canada %P 7-14 %D 2010 %K scheduling, multiagent, distributed, disaster response, planning %X We describe the application of a multiagent framework for collaborative scheduling to a disaster-response coordination problem. The problem is a field-exercise mockup of a natural disaster, where a team of human agents must rely on their respective automated scheduling agents to coordinate and accomplish various infrastructure-repair and casualty-transport tasks. We developed a collaborative scheduling framework under the strong assumption that no single agent has a global view of the overall problem. This peer-to-peer approach to multigent scheduling and coordination gives rise to a complex distributed search problem, and effective performance in the field exercise was found to depend heavily on the ability to provide the multiagent system with strong initial strategic guidance. We describe the mechanisms developed for steering the multiagent scheduling system to address specific disaster-response scenarios and report performance results that were obtained in the field exercise. %U http://www.ai.sri.com/pubs/files/1815.pdf

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