Yes, PROLOG with modern Python syntax and mostly imperative flow, commercial database experience instead of "build everything yourself", and ML-based heuristics that are learned on the fly instead of whatever hardcoded logic the particular interpreter had.

This is sometimes referred to as "Automated planning and scheduling" or simply "AI Planning" in academia.