Enabling Cognitive Architectures for UAV Mission Planning

Jon Russo, Mohammed Amduka, Keith Pendersen, Richard Lethin, Jonathan Springer, Rajit Manohar, Rami Melhem

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. We describe our system to integrate multiple cognitive architectures. We identify the cognitive kernels used in the cognitive and noncognitive implementation and system software and hardware features to support them. We also discuss observations and plans for further development and evaluation.
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