I had build an Monte-Carlo GO-Engine (GOMonCy) wich uses the Japanese scoring system. It reached a win rate against GnuGO 3.6 level 10 of stable 50%-52%. I used territorry-statistics about the Monte-Carlo outcomes. You get a probability for every field telling you who is the owner. It works quite good, but I thougt that nearly everyone is using such statistics, isnt't it? Using a threshold to decide that a field belongs to a player you can also handle seki situations. Of course, if it is losing, the engin will break the seki situation an continue losing..
Am Montag, den 05.11.2007, 16:54 -0800 schrieb [EMAIL PROTECTED]: > Jason House said: > > What about seki situations? > > > > On Nov 5, 2007 1:41 PM, <[EMAIL PROTECTED]> wrote: > > > >> It takes some tricky analysis to work out the Japanese score, due to > >> uncertainty about life/death; likewise it's not easy for a program to > >> recognize when moving is no longer to its advantage. > >> > >> How about bringing in a Monte Carlo routine after both players have > >> passed?--as a scoring referree, set to fill up the board (but avoiding > >> eye-filling > ------------------------------------------------------------------- > -->> and self-atari (except in ko situations) <<-- > ------------------------------------------------------------------- > >> until all legal > >> moves are played... > > > ----------------------------------------- > This email was sent using AIS WebMail. > http://www.americanis.net/ > > > _______________________________________________ > computer-go mailing list > computer-go@computer-go.org > http://www.computer-go.org/mailman/listinfo/computer-go/ _______________________________________________ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
