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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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