# E9 — landscape robustness: when recombination helps, and the outbreeding-depression risk **Claim tested.** E8 showed sexual recombination assembling super-parent offspring — but on an *additive* landscape, where recombination trivially helps. The honest, credibility-critical question (the classic "why sex?" problem): does the benefit survive **epistasis**, or does merging entangled models break them? **Setup.** Parents are **local optima** ("trained models") of a **Kauffman NK landscape** (`L=12`), whose ruggedness `K` (epistatic interactions per locus) is swept together with the **recombination rate**. `K=0` is additive/smooth; larger `K` is rugged (co-adapted allele blocks, many local optima). Fitness ∈ [0,1]. 24 replicate landscapes; 200 offspring per point. ### Symbols - **NK landscape** — tunable-ruggedness fitness landscape; `K` = epistasis (0 = additive, high = rugged). - **recombination rate** — per-gap crossover probability (0 = clonal / copy a parent; 0.5 = free recombination, loci independent). - **outbreeding depression** — offspring *less* fit than parents because recombination broke co-adapted allele blocks. ### The two panels 1. **The risk.** Mean offspring fitness *minus* best parent, vs recombination rate, one curve per ruggedness `K`. On the additive landscape (`K=0`) it's flat at 0; as `K` grows the curves plunge **negative**, and deeper the higher the recombination rate — **outbreeding depression, worse the more entangled the skills and the more you mix** (`K=8`, free recombination: ≈ −0.23). 2. **With selection, an optimal rate re-emerges.** Best-of-brood fitness (offspring selection) vs rate per `K`, with parents dotted. On rugged landscapes a **nonzero intermediate recombination rate** is best — enough mixing to find new combinations, not so much that it shatters good blocks. ### Takeaway Recombination is not a free lunch. **Merge freely when skills are complementary/additive; merge sparingly — and always *select* offspring — when they are entangled.** This is the celebrated population-genetics result (recombination load / outbreeding depression) reproduced for AI model merging, and it turns the sexual metaphor from a lucky demo into a law with a design rule. The rescue — directed sex with offspring selection — is E10. **Falsifier (not triggered):** if recombination rate had no effect, or free recombination never underperformed the parents on rugged landscapes, the epistasis caveat would be moot.