Re: [Computer-go] Komi 6.5/7.5

2015-11-04 Thread Hideki Kato
The correct komi value assuming both players are perfect. Or, black utilize his advantage (maybe in an early stage) perfectly. Actual players, even strong pros, are not perfect and cannot fully utilize their advantages. As a conclusion, white is favored. Hideki Aja Huang:

Re: [Computer-go] Komi 6.5/7.5

2015-11-04 Thread Petri Pitkanen
Let alone we do not have even sufficient understanding of perfect play to say what is correct komi in absolute sense. Nor it is it even meaningful concept. Correct komi is a komi that produces about 50/50 result. Obviously komi that will result in 50/50 for professionals will probably favour white

[Computer-go] Not-so-heavy playouts

2015-11-04 Thread Gonçalo Mendes Ferreira
Hi, does anybody know of a paper or online resource on stochastic heavy playouts? I'm looking for things like the things that should be present besides the 3x3 patterns (ladders, nakade), the probabilities of applying each pattern type (fleeing atari, capturing, cuts, hane), probabilities of

Re: [Computer-go] Komi 6.5/7.5

2015-11-04 Thread Erik van der Werf
I think he's right. I'm fairly sure 7.5 is a second-player win on 9x9, and for larger boards intuitively it makes sense that the komi should be the same or lower. Also, we know that perfect komi is an integer, for area scoring the likely candidates are 5 and 7, and for territory scoring (and some

Re: [Computer-go] Komi 6.5/7.5

2015-11-04 Thread Robert Jasiek
On 04.11.2015 13:59, Aja Huang wrote: Ke Jie said in his opinion on 19x19 komi 6.5 or 7.5 favors White. Go theoretical considerations (see Joseki 2 - Strategy, chapter 4.4.1) estimate the per move value of the first move as ca. 14 points, so suggest the komi 7. Pro game statistics, with

Re: [Computer-go] AMAF/RAVE + heavy playouts - is it save?

2015-11-04 Thread Urban Hafner
To make matters more difficult I assume that this also depends on the exact node evaluation you’re using. There’s UCT + RAVE, then there’s just RAVE (as used by Michi). And then you can add other things in there as well like criticality (like Pachi, and at least at one point CrazyStone). I

Re: [Computer-go] Facebook Go AI

2015-11-04 Thread Tobias Pfeiffer
Thanks for that observation Nick! For those that don't want to look for themselves: https://www.gokgs.com/gameArchives.jsp?user=darkforest https://www.gokgs.com/gameArchives.jsp?user=darkfores1 >From a quick look it seems like it is winning most of its games, even against 1d/2d players, but

Re: [Computer-go] Facebook Go AI

2015-11-04 Thread Nick Wedd
It loses games to kyu-players because it does not mark their stones as dead at the game end. Some kyu players mark them for it, but others are happy to accept an undeserved win. While it does not mark dead stones, it will not be assigned KGS "rated bot" status, to prevent dishonest players from

Re: [Computer-go] AMAF/RAVE + heavy playouts - is it save?

2015-11-04 Thread Stefan Kaitschick
The name "Monte Carlo" strongly seems to suggest, that randomness it at the core of the method. And randomness does play a role. But what really happend in the shift to MC, was that bots didn't try to evaluate intermediate positions anymore. Instead, all game knowledge was put into selecting