@article{Kuter_Kettler_Guo_Hofmann_Champagne_Lachevet_Lautenschlager_Goldman_Asencios_Hamell_2019, title={Profiles, Proxies, and Assumptions: Decentralized, Communications-Resilient Planning, Allocation, and Scheduling}, volume={33}, url={https://ojs.aaai.org/index.php/AAAI/article/view/5006}, DOI={10.1609/aaai.v33i01.33019504}, abstractNote={<p>Degraded communications are expected in large-scale disaster response and military operations, which nevertheless require rapid, concerted actions by distributed decision makers, each with limited visibility into the changing situation and in charge of a limited set of resources. We describe LAPLATA, a novel architecture that addresses these challenges by separating mission planning from allocation/scheduling for scalability but at the cost of some negotiation. We describe formal algorithms that achieve near-optimal performance according to mission completion percentage and subject matter expert review: assumption-based planning and replanning, profileassisted cooperative allocation, and schedule negotiation. We validate our approach on a realistic problem specification and compare results against subject matter expert solutions.</p>}, number={01}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Kuter, Ugur and Kettler, Brian and Guo, Katherine and Hofmann, Martin and Champagne, Valerie and Lachevet, Kurt and Lautenschlager, Jennifer and Goldman, Robert P. and Asencios, Luis and Hamell, Josh}, year={2019}, month={Jul.}, pages={9504-9509} }