From Seed Magazine:
In a recent article in Science, Cornell professor Hod Lipson and graduate student Michael Schmidt described a new computer system that can discover scientific laws. At first glance, it looks like a fulfillment of the dreams of “computational scientific discovery,” a small field at the intersection of philosophy and artificial intelligence (AI) that seeks to reverse-engineer scientific imagination and create a computer as skilled as we are at constructing theories. But if you look closer, it turns out that the system’s success at analyzing large, complicated data sets, formulating initial theories, and discarding trivial patterns in favor of interesting ones comes not from imitating people, but from allowing a very different kind of intelligence to grow in silico — one that doesn’t compete with humans, but works with us.
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