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Two rival AI approaches combine to let machines learn about the world like a child

Together, deep learning and symbolic reasoning create a program that learns in a remarkably humanlike way.
by Will Knight

Over the decades since the inception of artificial intelligence, research in the field has fallen into two main camps. The “symbolists” have sought to build intelligent machines by coding in logical rules and representations of the world. The “connectionists” have sought to construct artificial neural networks, inspired by biology, to learn about the world. The two groups have historically not gotten along.

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