alife_cyclic_ca — 2D `artificial-life` op

• Data kinds: image → image

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

Usage

Cyclic cellular automaton (Fisch-Gravner-Griffeath) -> spiral waves.

The image is quantised into N = 3 + int(9a) cyclically ordered states; a cell

in state s advances to (s+1) mod N as soon as at least one of its 8 Moore

neighbours already holds (s+1) mod N ("eat-the-next-colour"). Repeated on the

torus this self-organises the initial field into rotating spiral waves and

demons. `a sets the state count N, b` the step count 1 + int(15b).

Returns state/(N-1) so the full [0,1] range is used.

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_3d — py -3.11 examples/gallery2d_physics_alife_3d.py

• sim2real_and_alife — py -3.11 examples/sim2real_and_alife.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_perona_malik · alife_curvature_flow · alife_dla · alife_reaction_bz · alife_wolfram1d

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

alife_cyclic_ca — 2D artificial-life op