alife_wolfram1d — 2D artificial-life op

Data kinds: imageimage

Call: fullseye.apply(img, "alife_wolfram1d", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

Wolfram elementary 1-D cellular automaton, drawn as a spacetime diagram.

Reimplements the elementary (radius-1, two-state) cellular automata of

S. Wolfram, Rev. Mod. Phys. 55, 601 (1983) / *A New Kind of Science* (2002).

The initial row is the top row of the image thresholded at 0.5; if that row

is empty a single central seed is used instead, which is the classical

initial condition (rule 90 from a single seed is Pascal's triangle mod 2,

i.e. the Sierpinski gasket). The lattice is circular, one generation is

written per output row, and row 0 is generation 0, so the output is the H x W

{0,1} spacetime diagram.

`a picks the rule from the curated table _ELEMENTARY_RULES`;

`b sets the initial density by adding int(b * W/2)` evenly spaced extra

seed cells to row 0 (b = 0 leaves the thresholded row untouched).

Detailed usage guide

gallery2d_physics_alife_3d family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

gallery2d_physics_alife_3dpy -3.11 examples/gallery2d_physics_alife_3d.py

Ops the type connects to (they accept image as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (artificial-life)

alife_gray_scott · alife_turing · alife_life_step · alife_cyclic_ca · alife_perona_malik · alife_curvature_flow · alife_dla · alife_reaction_bz


*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.