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🐜 Ant Pheromone Trails — Stigmergy & the Double Bridge

Watch a 3D ant colony lay down and follow evaporating pheromone trails between nest and food. No leader, no memory — just positive feedback converging the colony on the shortest path.

Entomology & Insect Behaviour2DModerate60 FPS

A colony of foraging ants lays down evaporating pheromone as it walks between nest and food along two paths of different length — and converges on the shorter one purely through positive feedback, with no leader and no map.

🔬 What It Demonstrates

Stigmergy: indirect coordination through shared modification of the environment. The path with the faster round trip accumulates pheromone faster than it evaporates, so it is reinforced and chosen more often — a self-organising, autocatalytic process.

🎮 How to Use

Adjust ant count, evaporation rate, deposit strength and the length ratio between the two branches. Watch the % of ants on the short path climb as its trail (amber) out-glows the long one (teal).

💡 Did You Know?

Jean-Louis Deneubourg's 1990 double-bridge experiments with real Argentine ant colonies showed convergence on the shorter bridge in minutes — the direct biological inspiration for the artificial Ant Colony Optimization algorithm.

⚙ Under the hood

Watch a 3D ant colony lay down and follow evaporating pheromone trails between nest and food — positive feedback converges the colony on the shortest path with no leader and no memory.

stigmergypheromoneself-organisationemergenceswarm-intelligenceentomology

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