NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
This addresses safety issues for autonomous systems, but it appears incremental as it builds on existing neurosymbolic paradigms.
The paper tackles trust and safety certification challenges in autonomous cyber-physical systems by introducing NeuroStrata, a neurosymbolic framework that replaces stochastic layers with symbolic AI for determinism, with early results presented.
Autonomous cyber-physical systems (CPSs) leverage AI for perception, planning, and control but face trust and safety certification challenges due to inherent uncertainties. The neurosymbolic paradigm replaces stochastic layers with interpretable symbolic AI, enabling determinism. While promising, challenges like multisensor fusion, adaptability, and verification remain. This paper introduces NeuroStrata, a neurosymbolic framework to enhance the testing and verification of autonomous CPS. We outline its key components, present early results, and detail future plans.