Multi-Agent Planning under Uncertainty with Rare Catastrophic Events

نویسنده

  • Youngjun Kim
چکیده

This dissertation abstract outlines some of theoretical frameworks for modeling and simulation of multi-agent planning problems with rare catastrophic events. In particular, this abstract will focus on a wildfire surveillance application using unmanned aircraft. The thesis abstract presents an initial model and results of a preliminary study.

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تاریخ انتشار 2015