🧩 Interactive Showcases of Agent-Based Modeling and Simulation (ABMS)

Agent-Based Modeling (ABM) is a bottom-up, microscale modeling approach where the system is described by individual agents (cell, animal, people, car, device, software, product, country, anything…) and their local interactions. From these simple rules emerge collective phenomena that cannot be easily predicted from top-down aggregate models. This section introduces a collection of interactive prototype models demonstrating the principles of agent-based modeling — from diffusion processes and collective motion to decision-making and emergent phenomena.

Diffusion Model

Diffusion Model

Simulates the spread of information, ideas, or diseases through agent networks in continuous or discrete space.

▶ Explore Demo

Flocking Behavior Simulation

Flocking Behavior

Demonstrates how simple local interaction rules among agents can lead to collective patterns like alignment and cohesion.

▶ Explore Demo

Evacuation Simulation

Evacuation Dynamics

Models pedestrian evacuation behavior under different environmental layouts and stress conditions.

🚧 Coming soon

Social Force Model

Social Force Model

Recreates realistic pedestrian movement based on physical and psychological forces influencing individual motion.

🚧 Coming soon

Further Reading

One of the most influential works on agent-based modeling and simulation is:
C. M. Macal and M. J. North (2005). “Tutorial on agent-based modelling and simulation” Proceedings of the Winter Simulation Conference, 2005., Orlando, FL, USA,,pp. 14 pp.
DOI link