Visualizing Dynamical Behavior in Agent-Based Models

And encountering emergent complexity along the way

In my research into streamlining strategic knowledge extraction in game theoretic problems, I recently realized that I needed a better way to simply and intuitively visualize the behavior of agents with defined dynamical behavior.

This led me to build a simple library for visualizing agent behavior as an animation using PyPlot. But before jumping into the tutorial, here’s a quick catch-up on the core concepts at play here.

A Quick Primer on Dynamical …

agent agent-based-modeling agents animation behavior build complexity extraction game game theory knowledge library python research simple visualization