Swarm intelligence studies how simple agents following local rules produce complex, intelligent collective behavior without centralized control. From ant colonies that find shortest paths to bird flocks that navigate without leaders, nature has evolved distributed algorithms that outperform top-down designs in robustness and adaptability.
These simulations let you deploy ant colonies on graph problems, tune particle swarm optimizers for function landscapes, build flocking boids from three simple rules, model bee waggle-dance foraging, and synchronize firefly flash patterns — all with real-time animated agent visualizations and convergence tracking.