See people in general are getting in each others way when in a crowded environment.  When there is a group of people that are working together in this crowd, their removal would cause the system to

The idea is to try and find the least noisy, as the less noisy the

I’m back to wanting to be an agent in a system of unknown but observable agents.  I want to learn what the alliances and correlation are between people and agents in the system.  I want to be able to take a birds eye view and be able to identify outliers, who is working together or how as an agent could you disguise yourself better so you aren’t detected.

We as humans are able to look at a crowd and we can observe patterns and group dynamics and interesting things, the outliers.  We do this very well.  A computer on the other hand even when looking at a simulated environment probably wouldn’t do as well as a human in grouping a crowd given a birds eye view.  As a human we are able to not only take into account the directional movement, but also profiling and predict then where you expect them to travel.  We know what normal looks like, we are aware of it what it looks like in most scenarios.

How can you define that mathematically.  What makes observing this mass of agents moving about different from a bunch of particles randomly moving about in the eyes of the observer.