RunTheSim
← library Playable v1

swarm intelligence

Ant Colony
Stigmergy

Each ant is stupid. Together they are precise. Trails deepen where ants repeat them. Trails fade where ants forget. A week later the forest floor is a decision you can read — one nobody wrote.

Food trail Home trail Ants
What's happening Each ant reacts to local signals only. No map, no leader, no central plan. The route emerges from feedback.
What to try Swap the preset, raise evaporation, or push jitter up. Stable paths dissolve or reform in seconds.
Why it matters The same logic drives routing, optimization, and distributed coordination far beyond biology.

source notes

Model level and refs

  • Dual-field pheromone model, tuned for fast visual convergence — not a full biological replica.
  • Inspired by stigmergy and ant colony optimization as algorithmic metaphors, not exact species behavior.
  • Diffusion and evaporation run as discrete grid updates for in-browser speed.