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.
Symbolic Probabilistic Cognitive Reasoner on Neuromorphic Hardware
2021-08-16
1773823 byte
Conference paper
Electronic Resource
English