A quantum-inspired representation of driver behavior can combine properties usually treated separately: continuous, probabilistic, context-dependent, history-dependent representation with learned interactions among behavioral variables.

We introduce a quantum-inspired representation of driver behavior that combines properties usually treated separately or in part: it is continuous, probabilistic, context-dependent, history-dependent, and represents interactions among behavioral variables as learned from data.

http://arxiv.org/abs/2608.25907v1