[computer-go] Effective Go Board Library v0.99

2007-02-01 Thread Łukasz Lew
Hi, http://www.mimuw.edu.pl/~lew/ Highlights fo v0.99 - ko (superko) checking - undo command. (stack_board.cpp) I plan to release simplest MC player. Do You think it is a good idea? It should be In the same pack or in a separate one? Should it use all as first ? Regards, Łukasz Lew

Re: [computer-go] Effective Go Board Library v0.99

2007-02-01 Thread Heikki Levanto
On Thu, Feb 01, 2007 at 05:49:00PM +0100, ?ukasz Lew wrote: > http://www.mimuw.edu.pl/~lew/ > > Highlights fo v0.99 > - ko (superko) checking > - undo command. > (stack_board.cpp) Looks promising! > I plan to release simplest MC player. > Do You think it is a good idea? Yes, absolutely! I might

Re: [computer-go] Effective Go Board Library v0.99

2007-02-01 Thread Jason House
Łukasz Lew wrote: It should be In the same pack or in a separate one? From a library standpoint, it makes the most sense to make the go board library independent of the MC player. I'd recommend keeping things separate. ___ computer-go mailing list com

[computer-go] Monte-Carlo Go Misnomer?

2007-02-01 Thread Matt Gokey
Is MC Go a misnomer for programs in this genre not using simple random playouts and combining with other techniques like pattern matching? Technically, does the general Monte-Carlo method require random or pseudo-random sampling? If so, should we dub a new name for these non-random deep play-out

Re: [computer-go] Monte-Carlo Go Misnomer?

2007-02-01 Thread dhillismail
I think of it as a continuum going from "light" to "heavy." Pure random playouts are the lightest. But then you add some rules about filling in eyes, then maybe discourage self-atari,... and the playouts keep getting heavier. I agree with you that the current crop of MC engines are not n

Re: [computer-go] Monte-Carlo Go Misnomer?

2007-02-01 Thread David Doshay
I am a physics guy, and my thesis project was a large MC simulation. The clusters that run SlugGo are usually busy doing MC simulations when not playing Go. In general MC needs to sample according to the proper distribution for the problem. For some problems in quantum mechanics and most in