Only recently researchers have started to expose chess to reinforcement learning (i.e. a true AI engine that learns chess on its own and beats humans). But the existing commercial engines that beat humans (like stockfish) are anything but AI.
Only recently researchers have started to expose chess to reinforcement learning (i.e. a true AI engine that learns chess on its own and beats humans). But the existing commercial engines that beat humans (like stockfish) are anything but AI.
Historically, when you play with a bot you sense relentlessness(instead of calmness), and sometimes desperation(computers sometimes go wacky when they see they are losing).
What will we sense when they are even or stronger in the more artistic and strategic phases of the game?
It isn't reinforcement learning though. That isn't state of the art (at the moment), instead modern deep NN's are learned by gradient descent. This can be made to work really well but isn't regarded as similar to how biological neural networks work.
The idea of General Artificial Intelligence is something that can learn anything you throw by adapting and reinforcing base assumptions.
There's a podcast called Talking Machines that really dives into a lot of this stuff. He's freaking great and pretty darn entertaining.