This lader together with a hand full of others from professional games are discussed in my book Mastering Ladders, Richmond, VA: Slate & Shell, 2008. ISBN 1-932001-40-9 On the accompanying CD there are about 150 more professional games with longer ladders, many intentionally lost because this gives very heavy sente moves that may secure more territory than the ladder loses.
Thomas On Wed, 30 Nov 2011, Olivier Teytaud wrote:
Hi; sorry for taking some of your time with non-technical long-term AI/GO dreaming, but if sometimes you find Go fascinating you might like the video below :-) As many of you I guess, I've spent time trying to design some sort of learning in MCTS, so that monte-carlo simulations would be "adaptive" to the current situation. This idea looks like a very natural solution to the problems we have for reaching human top-level. I've met this incredible game; I'm not a Go player, but like many not-so-strong players at first view the moves by black look like a big mistake (misunderstood ladder): In fact, it's (as far as I see...) a very clever idea by black (Lee Sedol, pro player), in spite of the fact that it's a failed ladder. http://www.youtube.com/watch?v=beic62XoHnM We tried various things for having machine learning in MCTS: - Contextual Monte-Carlo for online learning simulations: http://hal.inria.fr/inria-00456422/ - poolRave (using RAVE values in simulations): http://hal.inria.fr/inria-00485555/ - Bernstein Races for offline learning patterns http://hal.inria.fr/inria-00622150/ (a synthesis of these papers in http://hal.inria.fr/inria-00544758/ ) and many of you have published related stuff; but when a computer will be able to understand a situation as the game above, it will be very impressive to me :-) Go looks like a combination between feeling and mathematical reasoning. One day the people of the Go-sect will convince me that this game has something really special :-) In particular, my feeling is that a 10kyu can not play this pro game, but a 10-kyu can understand a posteriori. It's difficult the discuss the possibility for a computer to understand a posteriori, but with a little bit of provocation from this point of view computers are not yet 10-key :-) Best regards, Olivier
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