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🤖 Multi-Agent Systems: Decentralized Coordination & Emergent Behavior (2D)

2D top-down swarm of autonomous agents that 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 Science2DModerate60 FPS📱 Mobile-adapted⇄ 3D version

Details

CategoryComputer Science

RenderingCanvas 2D

DifficultyModerate

Target FPS60

ControlsAgent count slider (20-140) sets how many agents are active in the swarm; communication radius slider 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. Buttons: Pause/Run, New goal (relocates the shared target), Scatter (re-randomizes agent positions).

Canvas 2DMulti-agent systemsMARLEmergent behaviorBoids

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Multi-Agent Systems: Decentralized Coordination & Emergent Behavior Simulator (3D)The original Three.js/WebGL version of this simulation. ⊞ All 307 in Computer Science →

This 2D companion runs the same decentralized boids-style rules as the 3D version — cohesion, alignment, separation, shared-goal attraction and exploration noise — on a flat top-down canvas, drawing a line between any two agents currently within communication range so the local-only network topology is directly visible instead of implied by an orbiting camera.

⚙ Under the hood

2D top-down decentralized swarm: each agent only reacts to neighbors inside its communication radius, no central controller, with a live cohesion and velocity-consensus readout.

Canvas 2DMulti-agent systemsMARLEmergent behaviorBoids

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install