Скачать или смотреть Modeling Human Behavior: Agent-Based vs System Dynamics Explained

In part two, Brian takes us deep into the science of modeling human and market behavior. He breaks down the two core approaches he uses: system dynamics, which looks at how things influence each other at a macro level, and agent-based modeling, which zooms in to simulate individual people and see how collective behavior emerges.

Using relatable examples — like how people join TikTok, how trends spread, and how expectations shape decisions — he illustrates the invisible forces that drive human behavior. Brian also highlights how businesses often overlook the importance of feedback loops, word-of-mouth timing, and resource limitations when predicting how products or ideas will spread.

This episode demystifies modeling and shows how surprisingly predictable people can be when viewed through the right lens.