DIRECTORY / SANDBOXES / PHYSARUM.SLIME

PHYSARUM SLIME MOLD

Jeff Jones' multi-agent chemotaxis model producing self-optimizing organic transport networks.

PHYSARUM SLIME MOLD

60 FPS

// INTERACTION CLICK ACTION

SENSOR ANGLE 45°

SENSOR DISTANCE 9 px

TRAIL DECAY RATE 0.94

[35,000 sensory agents navigating chemo-attractant trails]

📚

Agent-based biological transport network emergence and chemotaxis computation.

ACADEMIC & ALGORITHMIC REFERENCE

// HISTORICAL ORIGINS

Modeled on the single-cell amoeboid organism *Physarum polycephalum*, which famously replicated the Tokyo rail network in a 2010 Science paper.

// GOVERNING EQUATIONS

\text{Steer}(\theta) = \arg\max_{\phi \in \{-\alpha, 0, \alpha\}} \left( T(\vec{x} + d \cdot \hat{u}_{\theta + \phi}) \right)

// BROWSER IMPLEMENTATION

30,000 sensory agents sample 3 forward sensors in a chemical trail map, deposit chemo-attractants, and diffuse trails via 3x3 convolution.

// GUIDED EXPERIMENTS TO TRY IN THIS SANDBOX

1Steiner Tree Rail Network

🎯 Action:Drop 4 food pellets in a square around the colony.

✨ Observe:Watch the agents dissolve chaotic trails and construct the shortest optimal Steiner highway network between all 4 food sources.

// CURATED PAPERS, RFCS & RESOURCES

How slime mold designs transport networks with efficiency equal to human engineers.

The foundational multi-agent algorithmic model for simulating slime mold emergence.