Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy With Causal Resilience for Cyber-Physical Systems

This paper introduces SENSA (Self-Evolving Neuro-Symbolic Autonomy), a system that combines neural learning (data-driven pattern recognition) with symbolic reasoning (rule-based logic) to help AI make better decisions in complex, changing environments. The system uses causal reasoning (understanding why things happen, not just what happens) and can automatically improve its decision-making policies while staying robust against adversarial attacks (attempts to trick or disrupt the AI).