DIRECTORY / SANDBOXES / BOIDS.FLOCKING

BOIDS FLOCKING DYNAMICS

Craig Reynolds' 1986 swarm intelligence artificial life algorithm and predator avoidance.

BOIDS SWARM HUD

60 FPS

// CURSOR FORCE

FLOCK POPULATION 140

SEPARATION FORCE 1.5x

COHESION FORCE 1.0x

💡 TIP: Move mouse to guide the swarm or unleash the predator hawk.

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Autonomous steering behaviors: Separation, Alignment, and Cohesion.

ACADEMIC & ALGORITHMIC REFERENCE

// HISTORICAL ORIGINS

Introduced by computer graphics pioneer Craig Reynolds at ACM SIGGRAPH 1987 in 'Flocks, Herds, and Schools: A Distributed Behavioral Model'.

// GOVERNING EQUATIONS

\vec{F}_{net} = w_s \vec{F}_{sep} + w_a \vec{F}_{ali} + w_c \vec{F}_{coh}

// BROWSER IMPLEMENTATION

Each autonomous agent queries neighbor positions within a visual perception radius to compute 3 steering vectors with Reynolds' force truncation.

// GUIDED EXPERIMENTS TO TRY IN THIS SANDBOX

1Predator Panic Scattering

🎯 Action:Increase Predator speed and decrease Cohesion to minimum.

✨ Observe:The flock fractures into chaotic panicked micro-clusters fleeing the predator.

2Tight Schooling Swarm

🎯 Action:Set Alignment and Cohesion to maximum while leaving Separation at 1.5.

✨ Observe:Boids form a synchronized fluid ribbon resembling a school of sardines.

// CURATED PAPERS, RFCS & RESOURCES

The original seminal paper that established artificial life flocking algorithms.

Comprehensive guide to seek, flee, arrive, wander, and obstacle avoidance.