Neuro-Symbolic AI for Sensor-based Human Performance Prediction; System Architectures and Applications
Inês Filipa Fernandes Ramos, Gabriele Gianini, Ernesto Damiani · 2022
Recently, due to the rapid development of deep learning methods, there has been a growing interest in Neurosymbolic Artificial Intelligence, which takes advantage of both explicit symbolic knowledge and statistical subsymbolic neural knowledge representations.In sensor-based human performance prediction (HPP) for safety-critical applications, where maintaining optimal human and system performance is a major concern, neuro-symbolic AI systems can improve sensor-based HPP tasks in complex working settings.In this paper, we focus on the advantages of hybrid neuro-symbolic AI systems, present the outstanding challenges and propose possible solutions for HPP in the safety-critical application domain.