agent-based

Agent-based describes systems, models, or simulations built from individual actors (called agents) that follow rules and interact with each other and their environment.

In agent-based modeling, complex patterns emerge from simple behaviors of many autonomous agents rather than from top-down equations.

The approach is widely used in economics, ecology, epidemiology, and social sciences to study phenomena like market dynamics, disease spread, or crowd behavior.

The researchers built an agent-based simulation to predict traffic flow.