Agent-Based Modeling (ABM) is a computational technique that simulates the behaviors and interactions of autonomous agents within a system. Each agent operates based on individual rules, allowing researchers to observe emergent phenomena and complex system dynamics. ABM is widely used in fields like economics, social sciences, and biology to analyze how local actions lead to global patterns.