The Clash of Models: Agent-Based vs. Equation-Based Modeling
Notes on why Agent-Based Models (ABM) and Equation-Based Models (EBM) diverge, and how they complement rather than compete with each other.
Covers the “dwarf wolf” problem as a case against continuous equation-based models, how ABMs bridge game theory, statistical regression, and lab experiments, and how agent-based and system-dynamics approaches complement each other across macro and micro perspectives.