Many agent-based models predict the future. Nonlinear interactions in most non-trivial domains make predictions useless beyond a certain point (the "prediction horizon"), as agent trajectories diverge. We exhibit this behavior in a simple agent-based model, and discuss how a single agent in such a model can estimate the prediction horizon locally and use this estimate to modulate dynamically how far it gazes into the future.
['H. Van Dyke Parunak', 'Theodore C. Belding', 'Sven Brueckner']
Prediction horizons in polyagent models