Home▸Computer Science▸Multi-Agent Systems: Decentralized Coordination & Emergent Behavior Simulator

🤖 Multi-Agent Systems: Decentralized Coordination & Emergent Behavior Simulator

Watch a swarm of autonomous agents coordinate toward a shared goal using only local, decentralized communication. Tune agent count, communication radius, coordination strength and exploration noise to see MARL-style consensus and emergent flocking behavior appear.

Computer Science3DModerate60 FPS

Details

CategoryComputer Science

RenderingThree.js · WebGL

DifficultyModerate

Target FPS60

ControlsAgent count slider (20-140) sets how many agents are active in the swarm; communication radius slider (1.5-6) sets how far each agent can perceive neighbors and form links; coordination strength slider (0-100%) scales the cohesion + alignment weights that pull agents toward local consensus; exploration noise slider (0-100%) scales random perturbation, keeping agents exploring independently instead of converging. Buttons: Pause/Run, New goal (relocates the shared target), Scatter (re-randomizes agent positions).

Three.jsMulti-agent systemsMARLEmergent behaviorInstancedMesh

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⚙ Under the hood

Three.jsMulti-agent systemsMARLEmergent behaviorInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install