Agent-based modeling is a computational modeling technique used in various scientific fields, including economics, sociology, ecology, and biology. It involves creating computer simulations where autonomous, interacting agents follow certain rules and behaviors to mimic real-world situations. These agents can represent individuals, organizations, or even animals, and their interactions can lead to emergent phenomena that are not predictable from the behavior of individual agents alone. Agent-based modeling allows researchers to study complex systems and understand how individual-level interactions can give rise to macro-level patterns and dynamics.