I can't stand the word 'prior'. Every neural mechanism is now a prior. It doesn't help. Even knowledge is a prior. So when someone says prior, I have no idea whether they mean mechanism or the knowledge that's encoded in it. I blame the deep learning crowd this confusion.
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- Još 3 druga odgovora
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Form concepts, apply rule mining and, insert back rules mind and keep doing that. Also mine meta rules that work accross all domains of inference problems... sth like a Godel machine.
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I'm for neuroscience-informed AI. My two hopes are: 1.) More human studies rather than rodent ones: * https://gizmodo.com/neuroscientists-discover-new-kind-of-signal-in-the-huma-1840776159 … 2.) Regardless of human or mice, both gender candidates should be studied. No male human/mice biases, please.https://www.sciencedaily.com/releases/2019/10/191017142809.htm …
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