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Comment by conanbatt | Hacker News Reader

Neither do the players. As a player you maximize your chances of winning as well.

As an ex-go player (I pretty much stopped completely) I don't agree with your statement. You of course want to maximize your chances of winning but that means getting the most out of the current situation. If there's a play that you believe is a 10 point move and there's an 8 point move you're going to make the 10 point move 99% (probably 100% actually) of the time if they both keep initiative.

I'd play the 8 point move if I was ahead and it was more solid.

The problem is you don't know if it's more solid. That's why people go for bigger wins with smaller probabilities, like lottery, or any gambling. Humans are not that good with probabilities.

Only if you assess the chance of winning is the same for both. A rich man doesnt pick a fight, says the proverb.

The problem is, AlphaGo can read the "chances for winning" vastly better than any human being. AlphaGo may calculate a "chance to win" of 99.6% to 99.5%, and it will then select the 99.6%, even if that's taking 8 over 10. A human simply can't do that. That "close" of a winning probability looks the same, even to a master at whatever game they are playing.

This is literally why chess computers have gotten to the point that no one can beat them.

Thats not the problem, thats alphago simply playing better than human beings. Its not related to the strategy of highest probability of winning, human players also maximize that, its just that alphago is doing it better by now.

Arguing that they are the same is incredibly naive. There's no human being playing this game by calculating the odds of a given move resulting in a win then choosing the move that results in the highest possibility. Human players can't maximize that, because we aren't capable of those types of calculations. Instead, we use a variety of other techniques (instinct, skill, etc) to determine the next best move.

Go players, even bad ones, often play moves that simplify a position -- capture "dead" stones, remove aji -- even though they aren't the largest points value available on the board. We do what we can to reduce uncertainty in the service of maximizing win probability even in the face of being bad calculators.

Yes, but they're essentially just scraping the surface of those types of moves. In chess it's similar — I'll happily trade down "losing" material to a won endgame. But humans do these things typically only when they can get to an ending where they're 95%+ sure they will win.

AlphaGo will do this in any situation, from the beginning of the game all the way to the end.

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