AI Challenge Problem: Scalable Models for Patterns of Life

We describe how computational POL modeling integrates diverse artificial intelligence research areas and provides interesting challenges in multiple fields. Simultaneously, these patterns of life impose structure on individual decisions. For example, a pattern of rush hour traffic arises from drivers' decisions to commute at a certain time. Knowledge of rush hour influences individuals' departure times. Modeling POL is not only an academic pursuit.