Commit graph

2 commits

Author SHA1 Message Date
ab3dc10587 Restructure: descriptive tier and experiment names, paper/manuscript
- paper/pnas -> paper/manuscript (venue-neutral)
- configs/layer1 -> configs/inheritance, src/knowledge -> src/inheritance
  (imported as `inheritance`), make layer1 -> make inheritance; layer2 alias dropped
- inheritance and trained-network bundles named after the manuscript figure
  they feed (fig2_grounding_sweep, figS3_rebaselining, ...), or descriptively
  where they feed none; configs keep their `experiment:` value so parquet
  hashes are unchanged, only output.dir moves
- figure scripts, SI figure sources, notebooks, REPRODUCING.md, README and the
  SI Methods/tables updated; make clean no longer deletes tracked manifests;
  reproduce.sh hashes the s{seed}/ layouts too

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm
2026-09-13 17:00:40 +01:00
db9452c9d4 E12: model speciation — the merge-compatibility limit of the sexual society
New analytic result for the evolution-of-sex paper: how far can two lineages
diverge before recombination (model merging) stops working? Frames merge failure
as biological reproductive isolation via Bateson-Dobzhansky-Muller
incompatibilities. src/knowledge/speciation.py, kind: speciation, on the E7-E11
genotype machinery (pure seeded NumPy, bitwise-reproducible; no external
simulator whose separate RNG would break that).

- BDM construction (E12.yaml): ancestor + two lineages substituting disjoint loci
  (each parent adaptive, incompatibility-free), a fraction rho of cross-lineage
  pairs are BDMIs. Sweeping divergence d reproduces the predicted
  compatible -> outbreeding depression -> hybrid inviability curve; the isolation
  cliff moves to lower d as epistasis density rises (iso at d=20: 0.00/0.03/0.50
  for rho 0.1/0.25/0.5); incompatibilities snowball ~ (d/2)^2 (Orr-Turelli).
- NK variant (E12_nk.yaml): parents = hill-climbed local optima; the epistasis
  wedge — recombination gain flips 0 -> -0.13 and OD rate 0 -> 0.90 as ruggedness
  K rises. At matched divergence, mergeability is governed by epistasis, the axis
  no divergence-only ML merge predictor captures.

plot_E12.py (3-panel), +7 tests (138 green), README with honest positioning
(concedes the empirical phenomenon to Pari 2024 / Zhou 2026 + permutation
artefacts to Git Re-Basin; claims the predictive theory + the epistasis wedge).
Wired into make layer1.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-08 22:40:02 +01:00