Linked from

The 29 pages that link to Cellular automaton, each with the reason it gives.

• John von NeumannRelated: Von Neumann developed a self-reproducing cellular automaton, linking computation to self-replication.

• Procedural generationRelated: Repeated local updates can turn random maps into cave-like spaces.

• Ising modelRelated: Ising-like local interactions inspire cellular models of collective dynamics.

• Self-organizationRelated: Local update rules provide a simple way to model the emergence of complex patterns.

• Stanisław UlamRelated: Ulam helped develop cellular automata as a mathematical model for self-reproducing patterns.

• Transition functionRelated: Each cell’s update rule acts as a transition from its neighborhood’s current configuration.

• Nonlinear dynamicsRelated: Simple nonlinear local rules can produce complex global patterns in these models.

• Sierpiński triangleRelated: Elementary cellular automaton 90 produces a Sierpiński-triangle pattern from a single active cell.

• Lattice modelRelated: It shares lattice geometry and local interactions, but emphasizes time evolution over equilibrium.

• Edge of chaosRelated: Changing a cellular automaton’s rules can produce ordered, chaotic, or intermediate patterns.

• Stochastic self-propagating star formation modelRelated: A grid of galactic regions can represent local triggering through simple update rules.

• Two-dimensional spaceRelated: A two-dimensional grid supports spatial patterns and neighborhood-based updates.