alife_life_step — 2D `artificial-life` op

• Data kinds: image → image

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

Usage

Life-like totalistic cellular automaton (Conway-family B/S rules).

The image is thresholded at 0.5 to obtain the initial live/dead lattice, then

a totalistic outer-neighbourhood rule is applied on the torus: a dead cell is

born when its live Moore-neighbour count lies in the birth set B, a live cell

survives when its count lies in the survival set S. `a` picks the rule

preset -- Conway B3/S23, HighLife B36/S23, Day&Night B3678/S34678, Seeds B2/S

-- and `b` sets the generation count 1 + int(9b). Returns the live-cell

field as 0.0/1.0.

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_cyclic_ca · 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_life_step — 2D artificial-life op