The Evolution of Evolvability

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" summary

Argues that evolvability increases by individual-level selection on which new genes get fixed, not by group selection, and demonstrates it with math and simulations: uses the Price equation, Wagner’s B‑matrix and the NK model, plus genetic‑programming fitness distributions showing growing neutrality and a bimodal crossover effect. Genome‑growth sims (0→32 genes) filter for low‑pleiotropy additions, shifting fixation probabilities up and producing compact, high‑attractor fitness peaks; predicts duplication‑linked disease genes will show distinct paralog patterns.

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" chapters (12)

1. 0:00Intro
2. 0:46A Framework for Evolutionary Computation
3. 4:14Emergent Representations: Genetic Programming
4. 9:37Levinton (1988. p. 494) Genetics, Paleontology, and Macroevolution
5. 12:44Anathema': Dawkins (1988) The Evolution of Evolvability
6. 19:43Definition: Probability of Producing Adaptive Variants
7. 21:40Evolvability as a distribution of fitness effects
8. 26:55Gene duplication tournament
9. 30:42Prevalence of Gene Duplication
10. 39:16Simplified Model of Genome Expansion
11. 42:47B-Matrix (Wagner, 1989) Model with Genome Growth
12. 48:21NK (Kauffman and Levin, 1987) Model with Genome Growth