Modeling Complexity at Scale
A high-level strategic guide to Agent-Based Models (ABM) vs. traditional equation-based paradigms.
Compares agent-based models to equation-based models along three axes — bottom-up vs. top-down, discrete vs. continuous, and heterogeneous vs. homogeneous — using the “dwarf wolf” problem to illustrate why discrete, agent-level modeling captures dynamics that continuous equations can miss.