MachineSex/tests
Giorgio Gilestro 62c68d6c8c society: multi-locus recombination frame — the vertical claim (E7/E8)
Enter the Lamarckian society with a robust theoretical frame. The single-
locus, fixed-p* model can only express recovery toward a ceiling; the
society's load-bearing claim is vertical -- capability that EXCEEDS any
component. Generalize knowledge to a distribution over genotypes (L
biallelic loci, K=2^L, additive fitness = # correct loci), reusing all the
K-mode machinery. The one new operator is recombination: free recombination
sends p -> product of per-locus marginals (linkage equilibrium).

E8 (star, kind: society) -- the vertical claim / Fisher-Muller: decorrelated
PARENTS (specialists, expert on their loci, agnostic elsewhere) are
recombined; sexual merge assembles a genotype fitter than any parent,
climbing to the optimum (12/12, a genotype no parent had) as parent count
grows and rho->0, while the best single parent (~8.7) and the mean-mixture
"model soup" (~11.6) plateau below. Reuses make_retention_matrix (locus
mastery replaces tail-item retention).

E7 (kind: genotype_lineage) -- the advantage of sex: a single population
adapts toward the optimum; the sexual lineage adapts faster than asexual
(clonal interference) by keeping loci in linkage equilibrium (LD->0 vs LD
spike). Honest scope: a speed advantage, not a permanent Muller's-ratchet
gap (subtle to force); E8 carries the headline.

Metaphor shift (per GG): the society is sexual reproduction with UNBOUNDED
parents, not teacher->pupil. Teacher->pupil caps at the ceiling; n-parent
recombination is combinatorial and generative, and unlike biology there is
no two-parent limit. Collapse = asexual degradation; the cure = sex. This
unifies E4 (merge != average) + E6 (irreversibility) under evolution-of-sex
theory and reaches ground Riis's single-locus n-grams cannot.

New: knowledge/{genotype,genotype_lineage,society}.py, configs/layer1/{E7,
E8}.yaml, figures/plot_{E7,E8}.py, READMEs, tests/test_genotype.py (+7).
experiment.py dispatch (kind in {genotype_lineage, society}); make layer1
wired. 112 tests green.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-05 10:51:41 +01:00
..
test_analysis.py Layer 1 complete: E3-E6 + E2 analysis add-ons 2026-07-04 18:54:42 +02:00
test_correctness.py Layer 1 core: Wright-Fisher knowledge-transmission model with E1-E2 2026-07-04 18:10:18 +02:00
test_genotype.py society: multi-locus recombination frame — the vertical claim (E7/E8) 2026-07-05 10:51:41 +01:00
test_kernel.py knowledge: learning kernel — model the estimator bias, not just sampling 2026-07-05 10:23:33 +01:00
test_mnist.py neural: real-MNIST external-validity tier (collapse + grounding) 2026-07-05 09:19:36 +01:00
test_neural_correctness.py neural: grounding refinement + all five Layer-1.5 figures 2026-07-05 08:14:19 +01:00
test_neural_torch.py recombination: reproduce the E4 "merge, don't average" finding in real weights 2026-07-04 21:49:44 +01:00
test_neural_validation.py Layer 1.5: architecture-general neural existence proof 2026-07-04 21:02:49 +01:00
test_scientific_validation.py Layer 1 core: Wright-Fisher knowledge-transmission model with E1-E2 2026-07-04 18:10:18 +02:00