Of course, evolution is statistical. But as I wrote in AlphaGo critique: blurring distinction between evolution & learning blurs causal mechanisms. May as well call it all change and lump rock formation with classical conditioning; key question is whether you need strong priors.https://twitter.com/plinz/status/968490295968063488 …
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I tried to make a similar point to Gary a while back. I don't quite see the applicability of the idea of innateness in an artificial system. In biology it's simple developmental features are innate. There's no development in AI though - it's all computational/statistical.
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How many bits of innate knowledge do you think were accumulated in our evolutionary lineage, and what amount of data about our world would be required to extract the same amount of knowledge with principled statistical methods?
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