But Jim Manzi at The Atlantic defends Wright here. He offers a very interesting account of computer algorithms that work like evolution.
Computer scientists were inspired [...] because they observed the same three fundamental algorithmic operators — selection, crossover, and mutation — accomplish a similar task in the natural world. Notice that the method searches a space of possible solutions far more rapidly than random search, but it neither requires nor generates beliefs about the causal relationship between patterns within the genome and fitness beyond the raw observation of the survival or death of individual organisms. This is what makes the approach applicable to such a vast range of phenomena. That such a comparatively simple concept can explain so much about the way nature works is what makes genetic evolution a scientific paradigm of stupendous beauty and power. As Leonardo put it, simplicity is the highest form of sophistication.
Check out Manzi's discussion here.
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