Agent-based modeling is a powerful tool for understanding complex behavior — deriving rules that describe various phenomena, as well as for predicting behavior. It has a wide variety of uses in science, engineering, and social sciences. In this talk, Thomas French and Fred Farrell introduce the idea of agent-based modeling, and demonstrate some models that they have built in Python to understand riots that took place in London in 2011. Even if you’ve never heard of agent-based modeling, this talk demonstrates some of the power that ABM brings to the table.
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