Biomimetic Swarm Intelligence
Thousands of autonomous agents. No central command. Just three behavioral rules — and intelligence emerges.
01 — Core Principles
In 1986, Craig Reynolds proved that complex flocking behavior emerges from just three local rules applied to each individual agent.
Steer to avoid crowding nearby agents. Each boid maintains a personal boundary — too close and it pushes away.
Match the heading and speed of neighbors. This local consensus creates the illusion of coordinated motion.
Steer toward the average position of nearby agents. This gentle pull binds the flock into a single organism.
02 — Behavioral Model
Move your cursor through the swarm. The agents will respond to your presence — fleeing, regrouping, and re-emerging in new formations.
Your cursor acts as a gravitational attractor. Nearby agents are drawn toward the field center.
Click to emit a repulsion shockwave. Agents scatter outward, then slowly reform their flock.
Hold to create a spinning vortex. Agents begin orbiting, creating mesmerizing spiral patterns.