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Steven Pinker -- How the Mind Works - Hampshire High Italian ...

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164 J HOW THE MIND WORKSthan its rivals, it can increase its representation in a population from 0.1percent to 99.9 percent in just over four thousand generations, A hypo<strong>the</strong>ticalmouse subjected to a selection pressure for increased size that isso weak it cannot be measured could none<strong>the</strong>less evolve to <strong>the</strong> $ize of anelephant in only twelve thousand generations.More recently, computer simulations from <strong>the</strong> new field of ArtificialLife have shown <strong>the</strong> power of natural selection to evolve organisms withcomplex adaptations. And what better demonstration than everyone'sfavorite example of a complex adaptation, <strong>the</strong> eye? The computer scientistsDan Nilsson and Susanne Pelger simulated a three-layer slab of virtualskin resembling a light-sensitive spot on a primitive organism. It wasa simple sandwich made up of a layer of pigmented cells on <strong>the</strong> bottom,a layer of light-sensitive cells above it, and a layer of translucent cellsforming a protective cover. The translucent cells could undergo randommutations of <strong>the</strong>ir refractive index: <strong>the</strong>ir ability to bend light, Which inreal life often corresponds to density. All <strong>the</strong> cells could undergo smallmutations affecting <strong>the</strong>ir size and thickness. In <strong>the</strong> simulation, <strong>the</strong> cellsin <strong>the</strong> slab were allowed to mutate randomly, and after each round ofmutation <strong>the</strong> program calculated <strong>the</strong> spatial resolution of an image projectedonto <strong>the</strong> slab by a nearby object. If a bout of mutations improved<strong>the</strong> resolution, <strong>the</strong> mutations were retained as <strong>the</strong> starting point for <strong>the</strong>next bout, as if <strong>the</strong> slab belonged to a lineage of organisms whose survivaldepended on reacting to looming predators. As in real evolution,<strong>the</strong>re was no master plan or project scheduling. The organism could notput up with a less effective detector in <strong>the</strong> short run even if its patiencewould have been rewarded by <strong>the</strong> best conceivable detector in <strong>the</strong> longrun. Every change it retained had to be an improvement.Satisfyingly, <strong>the</strong> model evolved into a complex eye right on <strong>the</strong> computerscreen. The slab indented and <strong>the</strong>n deepened into a cup; <strong>the</strong> transparentlayer thickened to fill <strong>the</strong> cup and bulged out to form a cornea.Inside <strong>the</strong> clear filling, a spherical lens with a higher refractive indexemerged in just <strong>the</strong> right place, resembling in many subtle details <strong>the</strong>excellent optical design of a fish's eye. To estimate how long it would takein real time, ra<strong>the</strong>r than in computer time, for an eye to unfold, Nilssonand Pelger built in pessimistic assumptions about heritability, variation in<strong>the</strong> population, and <strong>the</strong> size of <strong>the</strong> selective advantage, and even forced<strong>the</strong> mutations to take place in only one part of <strong>the</strong> "eye" each generation.None<strong>the</strong>less, <strong>the</strong> entire sequence in which flat skin became a complexeye took only four hundred thousand generations, a geological instant.

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