Seems to me, a bunch of asynchronously moving kites would be a more efficient approach to modeling a flock of birds than, say, iterating all those birds' positions frame by frame in a synchronous loop.
Flocks are best modeled as aggregates of extremely simple agents who want to avoid collisions, avoid complete separation and move with the center of mass of the flock.
You're willfully missing the point. I'm not talking about the behavior of a kite (the kite could be designed to act autonomously and do whatever). I'm saying asynchronous analog modeling is by definition going to be both more efficient and capture a smoother gradient of concurrent states than a giant for/next loop (essentially what all neural networks do today) where each agent is checked and modified sequentially.
