Evolution and Computation
summary
Claim: under weak selection classical Fisher‑Wright population genetics is equivalent to a repeated game run by genes using the multiplicative weights update rule, so sex evolves to maximize mixability (alleles that pair well broadly) rather than lone genotype fitness. Tools: toy two‑locus fitness matrices, simulations, and a theorem showing any Boolean trait with a small 1+ε advantage becomes fixed with high probability. Result appears at ITCS and explains preservation of genetic variation and rapid adaptation.
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chapters (24)
- 0:00Intro
- 0:47The Algorithm as a Lens
- 1:16Evolution before Darwin
- 4:56The Wallace-Darwin papers: Exponential Growth
- 7:28Cryptography against Lamarck
- 8:12Genetics
- 8:47The crisis in Evolution 1900 - 1920
- 9:45The "Modern Synthesis" 1920 - 1950
- 13:44Disbelief, algorithmic version
- 15:05Valiant's Evolvability
- 17:39And in this Corner... Simulated Annealing
- 18:17The Mystery of Sex Deepens
- 19:28A Radical Thought
- 19:52Mixability!
- 21:31Explaining Mixability (cont)
- 22:38Pointer Dogs
- 24:11Waddington's Experiment (1952)
- 25:27Genetic Assimilation
- 25:42Is There a Genetic Explanation?
- 27:20Arbitrary Boolean Functions
- 32:13Changing the subject: The experts problem
- 36:10Multiplicative weights update
- 38:43Theorem: Under weak selection, evolution of a
- 42:31Finally...
