Symbolic Probabilistic Cognitive Reasoner on Neuromorphic Hardware

David Fan,Ashley DeMange,Todd Jenkins,Yuki Adams,Tarek Taha

NAECON 2021 - IEEE National Aerospace and Electronics Conference（2021）

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摘要

This paper presents the development of a low-SWaP spiking symbolic Bayesian network reasoner that makes decisions based on given state inputs. The Bayesian network is demonstrated onboard an unmanned aerial vehicle using the Intel Loihi, a neuromorphic research hardware, and achieves improved power efficiency, runtime performance, and functional equivalency when compared to conventional hardware.

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关键词

bayesian network,spiking neural network,neuromorphic computing,neural engineering framework,unmanned aerial vehicle

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