Neural Boids: Using Small Neural Networks to Simulate Natural Flocking Behavior

Summary

The article introduces 'noids' (neural boids), which are flocking agents controlled by small neural networks instead of hand-written rules. The author explains how real birds flock in murmurations without leaders or choreography, then contrasts this with traditional 'boids' simulation models that use explicit rules. The article describes how neural networks can learn flocking behavior through training, creating more natural and emergent behaviors than rule-based systems. The neural network approach uses only 1,922 parameters per agent and allows for complex, coordinated movements that mimic real bird flocking dynamics.