Historically, there have been two opposing views of cognition. One in which intelligence is a general ability to learn from arbitrary data, and one in which intelligence is the result of a myriad of special-purpose systems shaped by millions of years of evolution.
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Whats the latest view?
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Yes please, more on this. I'm not clear about the dismissal of the second view, and wonder too about what a third way would look like.
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I'm a big fan of innate behaviors (pre-wired cognitive abilities that bootstrap our development), but both don't give enough credit to how much brain power (in early age) is required of just the body to function. A "fresh mind" has nothing to drive it's development.
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Maybe we need a new word, similiar to anthropomorphize. But where we instead try to define humans in terms of configured hardened earth. You know so we can promote AI as being human but better.
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I'm interested to know how the 2nd view was disproven.I think that if it's based on Darwin: then its main pillar/crutch is the "time needed for evolution". recent studies show the earth is "younger" than required by darwin's evolution theory. Is that it?
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And... finally... what's the current "view"?
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Seems to me like a two layered system. #2 as a base layer that as a whole creates an emergent layer #1, or at least a layer that behaves like 1.
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And then maybe there are evolved cognitive processes inherent in humans (View II) But they lie embedded deep inside. & It needs the pressure &stress of a 'blank state' facing a real world challenge for us to be able to access those evolution-acquired internal cogntive processes?
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the interesting question is: what philosophy is implied by our current architecture of deep learning?
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+1. I'm someone who's bought into the second view and would like to know why it has fallen out of favour!
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