Individual-based models is a class of computational models that simulate the behavior and interactions of discrete, heterogeneous individuals. This methodological approach investigates how complex system-level patterns and emergent phenomena arise from the collective dynamics of autonomous agents and their local interactions within a defined environment, providing a powerful framework for studying systems where individual variability, spatial structure, and non-linear feedback loops are critical determinants of system behavior.