Today’s FT has an interesting article(behind paywall) about AI being deployed into the video game space after its success at Chess and Go. What interests me here is that such video games are more open ended and ‘noisy’. They typically don’t have compact rule sets and strike me as capturing more of the flavor that smart machines are going to encounter in the real world (say when they are autonomously driving on the Washington DC beltway). Of course, the typical algorithm right now involves reinforcement learning and the AI plays against itself. That’s perfectly sensible in a gaming environment, but not really applicable to autonomous robot roaming out in the wild.
There’s a different approach out there and it’s based on reverse-engineering the brain processes that sub-serve hu man child language acquisition. The key idea is that human children acquire language with great ease and not a lot of reinforcement. We know quite a bit about the neurobiology of mnemonic function, both at the molecular level and at the neuro-algorithmic level. That this existence proof manifests so saliently suggests to me that this is where the next paradigm is going to be revealed.