Individual-Based Models (IBMs)

Individual-Based Models (IBMs) are simulation tools that represent populations by focusing on individual organisms rather than averages. Each entity has unique traits and behaviors, allowing the model to capture diverse actions and interactions within a system. This approach helps researchers understand how individual differences affect overall system dynamics, such as ecosystems or social groups. IBMs are useful for analyzing complex processes where individual variability influences outcomes, providing detailed insights that can inform management, conservation, or policy decisions.