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Enabling Cognitive Architectures for UAV Mission Planning

Jon Russo, Mohammed Amduka, Keith Pedersen, Richard Lethin, Boris Gelfand, Jonathan Springer, Rajit Manohar, Rami Melham
Publication Source: The High Performance Embedded Computing Workshop (HPEC), Lexington, MA, USA, (Best papers award session), September, 2006

The operational performance desired for autonomous vehicles in the battlefield requires new approaches in algorithm design and computation. Our design, Polymorphic Cognitive Agent Architecture (PCAA), is a hardware-software system that supports the requirements for implementing a dynamic multi-unmanned aerial vehicle (UAV) mission planning application using cognitive architectures. We describe the requirements for our application, and discuss the challenges of using current “non-cognitive” algorithms to solve this problem and the reasons this motivates our experiment.
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