Real-world examples of multi-agent autonomous vehicle failures

Inspired by failures cases of autonomous cars (OOD failure, map vs. territory failure, and multi-agent complex interaction failure), describe long-tail risks in complex systems, esp. i.r.t. 3-body problem-like dynamics (unpredictable, independent agents causing complexity cascades). Train simple autonomous vehicle agents in a naturalistic 2D driving environment. Call them "Cars" in the report. Show that these work fine in simple OOD environment settings but when you introduce other "Cars", it breaks down. Show the learning time needed to adapt to multi-agent scenarios by crashes (y) over epochs (x) of fine-tuning all layers. Generalize the example by referencing real-world scenarios of autonomous vehicle failures and to hypothetical scenarios of critical systems failure.