Explainable Planning for Hybrid Systems

This thesis presents a comprehensive study on explainable artificial intelligence planning (XAIP) for hybrid systems, addressing the growing need to generate explanations for AI-based systems. It focuses on how automated planning is applied to complex and safety-critical domains like smart energy grids and self-driving cars.