Sure thing, deterministic rules can still trip over themselves when a new scenario shows up, and the chain reaction feels like a surprise. In autonomous vehicles that means you can’t just hand‑wave through safety checks; you need a mix of probabilistic bounds, exhaustive scenario coverage, and adaptive learning loops. It’s like a chess engine that can only play the rules you give it, but the board keeps changing, so the engine has to keep learning on the fly. Does that hit the mark or do you want to dig into the math?