Computers Evolve a New Path Toward Human Intelligence

Evolutionary algorithms have been around for a long time, but have lost popularity in the face of advances in neural networks. This article introduces the concept of novelty search, which is a rather counterintuitive concept for those of us used to a straightforward gradient descent optimizer moving us towards a well-defined outcome. In tests, optimizing for novelty (as is done in biological evolution) actually outperforms goal-directed optimization when evaluated on performance towards that very goal. Wild.

This is a fairly high-level piece, but links to plenty of resources to drill in deeper. If the topic is interesting to you, this is a good place to dive in.


Want to receive more content like this in your inbox?