Proceedings:
No. 1: AAAI-19, IAAI-19, EAAI-20
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 33
Track:
IAAI Technical Track: Emerging Papers
Downloads:
Abstract:
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.
DOI:
10.1609/aaai.v33i01.33019504
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 33