HomeAlgorithms & AICA Rule-Space Classifier: Langton's λ Parameter

Cellular Automaton Rule Classifier — Langton's λ Parameter

Six cellular-automaton rule tables, generated live from Langton's λ parameter, evolve side by side in 3D — watch order collapse into periodicity, edge-of-chaos complexity, and full chaos as λ sweeps the rule space, with live activity-based Wolfram-class readouts.

Algorithms & AI3DAdvanced60 FPS📱 Mobile-adapted⇄ 2D version
cellular-automaton-rule-classification ↗ Open standalone

Wolfram's four qualitative classes of cellular-automaton behaviour — fixed, periodic, chaotic, and the complex "edge of chaos" — are usually shown one rule at a time. This simulator instead generates six random rule tables spread across Langton's λ parameter and runs them side by side in a single 3D scene, so the transition from order to periodicity to structured complexity to full chaos is visible directly as λ sweeps the rule space. Each panel's class label is computed live from its own row-to-row Hamming distance — the same empirical signature used to locate the edge of chaos in the cellular-automaton literature — rather than looked up from a table, so changing λ, the neighborhood radius, or the initial condition immediately re-derives the classification for every rule.

⚙ Under the hood

Six randomly generated cellular-automaton rule tables, spread across Langton's λ parameter, evolve side by side in 3D so you can watch order collapse into periodicity, edge-of-chaos complexity, and full chaos as λ sweeps the rule space.

cellular automataWolfram classesLangton lambdaalgorithmsemergencecomplexity

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

What did you find?

Add reproduction steps (optional)