Deep Blue, Deep Blitz, what’s next ?

People seem to still want to make big computers to beat chess masters, while Kasparov has been beaten by the upgraded Deep Blue, then nicknamed Deeper Blue, in 1997. But actually, what's the point ?
I mean, all it demonstrates is that brutal brute force is better than human. And now human has been beaten, what's the challenge ?

So, let's move on a bit and go for a real challenge : beat human at Go. You know, this simple game with simple rules but for which no computer has yet beaten average players. I'm not even saying advanced or masters, because computers are so boring and lame that strong players prefer to play humans.

And if they happen to want to use the brute force as they did for chess, well, they'd need a computer to which Deep(er) Blue would be an abacus.

More seriously, though, why isn't there more IA research on Go, now that Chess is more or less mastered ? Another thing that puzzles me is how come gnugo is so good compared to other Go programs, while free software Chess programs are so lame ?

2006-01-27 19:54:28+0900

miscellaneous, p.d.o

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One Response to “Deep Blue, Deep Blitz, what’s next ?”

  1. arch Says:

    There has been quite a bit of research for computers playing go but so far brute-force is still mostly infeasible and designing any sort of expert system is harder then chess. In chess, a queen is worth more, she has a higher point value so you can give the computer a preference to capture the queen over a pawn. The last article I read about neural nets and learning algorithms found that even after a couple hundred generations, the neural net still couldn’t beat a human player on even a small board. But it’s been a while since I look at computers playing Go so I’ve got no idea what’s going on anymore in that field.