RE: [computer-go] end game analysis
Many Faces can do some of this. You can easily try different moves or sequences and have the computer think at each position, although you have the start the analysis by hand. Win rate and PV are shown during the search so you can start a long search and stop it when it looks stable. After the search it shows the PC so you can see the full sequence it likes. It scales up to 8 core single machine, but not multimode. David > -Original Message- > From: computer-go-boun...@computer-go.org [mailto:computer-go- > boun...@computer-go.org] On Behalf Of Thomas Wolf > Sent: Monday, October 05, 2009 9:32 AM > To: computer-go > Subject: [computer-go] end game analysis > > A quick question: > > What programs are useful for coaching a player by analysing the moves that > have been played in the endgame of some 19x19 game? > > What one would want to do is to input the position, say 30 moves from the > end, > and get a ranking of the remaining moves. It would be nice if it would not > be > too cumbersome to explore optimal follow up moves for any one of the > moves, > i.e. to select a move and see what the winning statistics for the followup > moves is. It also should be possible to add more and more time to the > analysis > to see how stable it is if more time is available. The program should be > able > to use large computing resources (e.g. computing nodes with 32 CPU sharing > 128GB RAM would be available). > > Thanks, > Thomas > ___ > 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/
Re: [computer-go] end game analysis
A comment to my own question: I should have formulated it better, of course all MC programs are useful in some sense. The specifics of the request is that the player is not avalable to play live against a normal program and to learn from interactive play. Also, for the analysis to be more accurate and/or to investigate positions that are earlier in the game the computing times may be too long for interactive sessions. Ideal would be a program submitted in batch-mode which is given an sgf file from a game and the program would analyse all positions starting with the last move going backwards and making comments into a file. I realize that MC programs are stronger in close games, so for each analysis the number of prisoners might be adapted to get the best out of MC so that from the analysis one can see where the player lost one or two points. Thomas On Mon, 5 Oct 2009, Thomas Wolf wrote: > A quick question: > > What programs are useful for coaching a player by analysing the moves that > have been played in the endgame of some 19x19 game? > > What one would want to do is to input the position, say 30 moves from the end, > and get a ranking of the remaining moves. It would be nice if it would not be > too cumbersome to explore optimal follow up moves for any one of the moves, > i.e. to select a move and see what the winning statistics for the followup > moves is. It also should be possible to add more and more time to the analysis > to see how stable it is if more time is available. The program should be able > to use large computing resources (e.g. computing nodes with 32 CPU sharing > 128GB RAM would be available). > > Thanks, > Thomas > ___ > 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/
[computer-go] end game analysis
A quick question: What programs are useful for coaching a player by analysing the moves that have been played in the endgame of some 19x19 game? What one would want to do is to input the position, say 30 moves from the end, and get a ranking of the remaining moves. It would be nice if it would not be too cumbersome to explore optimal follow up moves for any one of the moves, i.e. to select a move and see what the winning statistics for the followup moves is. It also should be possible to add more and more time to the analysis to see how stable it is if more time is available. The program should be able to use large computing resources (e.g. computing nodes with 32 CPU sharing 128GB RAM would be available). Thanks, Thomas ___ computer-go mailing list computer-go@computer-go.org http://www.computer-go.org/mailman/listinfo/computer-go/
