In message <87bb3fc30901101301tad289d8g1d7cd7e14b731...@mail.gmail.com>,
Ernest Galbrun <ernest.galb...@gmail.com> writes
Hello everyone,
I am trying to do some genetic experiment with virtual go players I
programmed using basic neuronal network technology. The principle is to
test my randomly mutated players against each other and to kill the
losers. I have used Opengo library to make my players play against each
other, the problem is that opengo does not have any scoring capability,
so I am never certain about the result of a game ; and opengo has still
some bugs, especially when making computer players play against each
other.
Could someone tell me what program (if any) I could use to make the
players play against each other, given that :
- My players dont know anything about the suicide and the ko rule.
- Thay can't count the score by themselves.
I am not sure what you mean by "the result of a game".
If a game has stopped because two weak players have passed in turn, then
"the result" may, depending on the rules used, be undefined, or
difficult or inappropriate to calculate. If a game has stopped because
two expert players have passed in turn, then the result is (almost
certainly) defined, but it may be difficult for medium-strength players,
and impossible for all existing programs, to know what it is.
I suggest that instead of getting your neural players to play Go, you
get them to play a very slightly different game, in which, when both
players pass in turn, all stones remaining on the board are deemed
alive. It is not difficult to write a scoring algorithm for this game.
Nick
--
Nick Wedd n...@maproom.co.uk
_______________________________________________
computer-go mailing list
computer-go@computer-go.org
http://www.computer-go.org/mailman/listinfo/computer-go/
