society: the dynamic Lamarckian society — the vertical claim (E11 / C3)

The culmination. A finite population of agents (genotypes, L loci) evolves
on a rugged NK landscape that IS reality (knowledge/dynamic_society.py),
composing the four operators the whole study built toward: grounding,
directed recombination (sex), quality-diversity selection, and mutation.
Grounding is made load-bearing via the consensus-conformity (self-
consumption) mechanism (GG decision): selection acts on
g*true_fitness + (1-g)*conformity, where conformity = agreement with the
population's own consensus, so at g=0 the society optimises fitting-the-
crowd rather than reality.

4-arm ablation (12 reps), each breaking distinctly, only the full society
climbing (global_opt ~ 0.79):
- full         0.78  climbs to the optimum, diversity maintained longest
- no_sex       0.77  can't recombine to escape local optima
- no_diversity 0.74  greedy: collapses diversity fastest, worse local optimum
- no_grounding 0.48  self-consumption collapse to an unfit consensus
                     (trains on the crowd -> confident-but-wrong mean;
                      conformity-true gap ~ 0.5)

This integrates E1-E6 + the learning kernel + E7-E10 into one system and
shows the Lamarckian society needs ALL of grounding + directed sex +
diversity: on a rugged landscape you need diversity to explore basins, sex
to recombine them, and grounding to select on reality -- remove any one and
you fail differently. Closes the C3 vertical claim analytically; the LLM
rung remains the eventual empirical instantiation.

New: knowledge/dynamic_society.py, configs/layer1/E11.yaml, figures/
plot_E11.py, README, tests/test_dynamic_society.py (+5). kind:
dynamic_society dispatch; make layer1 wired. 122 tests green.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

results/E11/README.md

@@ -0,0 +1,42 @@
+# E11 — the dynamic Lamarckian society: the vertical claim (C3)
+
+**Claim tested.** The culmination. Everything before was a *single operator*; the society's
+load-bearing, un-preempted claim is that composing them makes **general capability climb over
+generations while specialties are re-earned**, and that **every operator is necessary** — remove one
+and it breaks. This is blueprint C3, the "vertical."
+
+**Setup.** A finite population of `N=60` agents (genotypes of `L=12` biallelic loci) evolves on a
+**rugged Kauffman NK landscape** (`K=8`) that *is* reality. Each generation composes: grounding,
+**directed recombination (sex)**, **quality-diversity selection**, and mutation. Grounding is made
+load-bearing by the **consensus-conformity (self-consumption)** mechanism — selection acts on
+`g·true_fitness + (1−g)·conformity`, where conformity = agreement with the population's own consensus,
+so at `g=0` the society optimises fitting-the-crowd rather than reality. A 4-arm ablation, 12
+replicate landscapes, 80 generations.
+
+### Symbols
+- **agent** = a model (a genotype); **reality** = the NK fitness landscape; **grounding `g`** = share of the selection signal that is real fitness vs conformity.
+- **directed sex** = recombine many parents + keep the fittest offspring (E10). **quality-diversity** = select for capability *and* novelty, so specialties persist.
+- **conformity − true fitness** = how far the population's mutual agreement exceeds its real capability (the self-consumption "delusion" signature).
+
+### The three panels (over generations)
+1. **The vertical climb.** Best real capability: the **full society (green) climbs to the global
+   optimum** (≈0.78 of 0.79), while **no_grounding (red) collapses** to a fit-looking but poor
+   consensus (0.48). `no_sex` and `no_diversity` plateau *below* the full society.
+2. **Specialties maintained.** Population diversity: the **full society explores longest** (diversity
+   decays slowly as it searches), while every ablation collapses diversity fast — `no_grounding`
+   almost immediately.
+3. **Self-consumption signature.** Conformity minus true fitness: **largest for `no_grounding`** — the
+   population strongly *agrees* while being *wrong*, the signature of training on its own consensus.
+
+### Takeaway — every operator is load-bearing
+- **full** → climbs to the optimum with diversity maintained. **The vertical claim.**
+- **no_grounding** → self-consumption collapse to an unfit consensus (train on the crowd → regress to a confident, wrong mean).
+- **no_sex** → can't recombine complementary specialists to escape local optima → plateaus below full.
+- **no_diversity (greedy)** → collapses diversity fastest, gets stuck at a *worse* local optimum.
+
+This integrates the whole study — E1–E6 (collapse/grounding/selection), the learning kernel, and
+E7–E10 (sexual transmission) — into one system, and shows the Lamarckian society needs **all** of
+grounding + directed sex + diversity to climb without collapsing. On a rugged landscape you need
+diversity to explore basins, sex to recombine them, and grounding to select on reality; remove any and
+you fail differently. **Falsifier (not triggered):** if any ablation had matched the full society, or
+the full society had failed to exceed every ablation, the integration claim would fail.