4 ms·
It would be interesting to see a neural net evolve to take into account player state, not just game state. I play chess, and no where near professional levels,
by hguant 11y ago
It would be interesting to see a neural net evolve to take into account player state, not just game state. I play chess, and no where near professional levels, so I don't know if this anecdote is valuable, but if I see my opponent looking at a particular area of the board, I tend to take a second look.
I suppose beating humans isn't AlphaGo's primary motive though - learning to play a perfect game of Go in general is probably more difficult than playing the perfect game against a particular person.
- CydeWeys 11y agoHaving the AI use eye-tracking to predict an opponent's moves is a truly terrifying thought. Just by tracking the eye with millisecond precision you could probably work out the strategy they were reading. It's so game-breaking that it shouldn't be allowed as an input, and indeed, is easily defeated with reflective sunglasses anyway (like a lot of pro Poker players wear). The AI player can't give up information in this manner because it lacks eyes, so I'd say that it should not be able to use this information from the human player.
- ludamad 11y agoSeems like just another avenue to trick the computer
- grumpopotamus 11y agoThis actually came up in the commentary. Michael Redmond actually mentioned that some amateurs watch to see where their opponent is looking, but he called it merely a "trick", and he said it is not useful in professional play.
- TrevorJ 11y agoThat type of metagame seems useful though, in the sense that you can start to sense the state of mind of your opponent. If they are working harder than you think they need to, you might get away with a riskier move for instance.