This is an extremely powerful point that singing the virtues of the minimal structure of deep neural nets cannot assail. The brain can instantly see new complex patterns that it has never seen before. DNNs would be blind.
point is that children and adults can do these sorts of things with small amounts of data, per my 1999 science article and later collaborative work on reduolication in Hebrew with Iris Berent. and see my recent discussion re extrapolation @Mediumhttps://twitter.com/zaydenam/status/957834843114545152 …
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You think you do! Bohr's independent observer. The promise we all believe!
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Completely out of my depth here, but seems a need for some abstracted representation of adaptive abductive reasoning. A system would somehow generate sets of these from pattern-seq recogn, use them to gen synthetic datasets ("conceptual models?"), then compare to new data
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