ProDeo
Would you like to react to this message? Create an account in a few clicks or log in to continue.
ProDeo

Computer Chess
 
HomeHome  CalendarCalendar  Latest imagesLatest images  FAQFAQ  SearchSearch  MemberlistMemberlist  UsergroupsUsergroups  RegisterRegister  Log in  

 

 Neural Nets (not Maia) trained on Human Games

Go down 
2 posters
AuthorMessage
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyFri Jun 09, 2023 7:43 pm

I found some time ago a github feauturing some 256x2 sf nets that will work in much older versions of sf, or engines that use that net architecture. It was

recently asked on talkchess if there were any human nets, but they won't

approve my account when i register, not sure why. So heres the nets trained by KennyFRC. They're stronger than the harmon net trained on kingbase by

dkappe, and there are numerous nets to choose from.

https://github.com/kennyfrc/nnue-networks/releases

Nezhman likes this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyFri Jun 09, 2023 7:44 pm

There are some nets trained on maia, which don't work so well, and a couple king base nets which play excellent human chess, especially when just the net is used, and a net trained on caissabase, which resulted in the strongest net.

Ghppn likes this post

Back to top Go down
Nezhman




Posts : 74
Join date : 2020-11-27

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptySat Jun 10, 2023 6:31 am

texium wrote:
I found some time ago a github feauturing some 256x2 sf nets that will work in much older versions of sf, or engines that use that net architecture. It was

recently asked on talkchess if there were any human nets, but they won't

approve my account when i register, not sure why. So heres the nets trained by KennyFRC. They're stronger than the harmon net trained on kingbase by

dkappe, and there are numerous nets to choose from.

https://github.com/kennyfrc/nnue-networks/releases

What engine could use/run these kennyfrc nets?
Thanks!

Ghppn likes this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptySat Jun 10, 2023 10:48 am

Nezhman wrote:
texium wrote:
I found some time ago a github feauturing some 256x2 sf nets that will work in much older versions of sf, or engines that use that net architecture. It was

recently asked on talkchess if there were any human nets, but they won't

approve my account when i register, not sure why. So heres the nets trained by KennyFRC. They're stronger than the harmon net trained on kingbase by

dkappe, and there are numerous nets to choose from.

https://github.com/kennyfrc/nnue-networks/releases

What engine could use/run these kennyfrc nets?
Thanks!
personally i use Rodent with nnue, as i can create some interesting gm personalities. my nakamura personality, for example, matches his moves online and OTB over 50% of the time. these tuned personalities hover around 50-60% match, which is good because its not too high

Nezhman and Ghppn like this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptySun Jun 11, 2023 3:37 pm

could someone with a working talkchess account share the github link i shared, to the aforementioned talkchess post

Ghppn likes this post

Back to top Go down
Nezhman




Posts : 74
Join date : 2020-11-27

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptySun Jun 11, 2023 11:20 pm

texium wrote:
Nezhman wrote:
texium wrote:
I found some time ago a github feauturing some 256x2 sf nets that will work in much older versions of sf, or engines that use that net architecture. It was

recently asked on talkchess if there were any human nets, but they won't

approve my account when i register, not sure why. So heres the nets trained by KennyFRC. They're stronger than the harmon net trained on kingbase by

dkappe, and there are numerous nets to choose from.

https://github.com/kennyfrc/nnue-networks/releases

What engine could use/run these kennyfrc nets?
Thanks!
personally i use Rodent with nnue, as i can create some interesting gm personalities. my nakamura personality, for example, matches his moves online and OTB over 50% of the time. these tuned personalities hover around 50-60% match, which is good because its not too high

So, the kennyfrc nets do work with Rodent-NNUE, is that confirmed?
A net is useless without an engine to run it.

Ghppn likes this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyMon Jun 12, 2023 1:50 pm

Nezhman wrote:
texium wrote:
Nezhman wrote:
texium wrote:
I found some time ago a github feauturing some 256x2 sf nets that will work in much older versions of sf, or engines that use that net architecture. It was

recently asked on talkchess if there were any human nets, but they won't

approve my account when i register, not sure why. So heres the nets trained by KennyFRC. They're stronger than the harmon net trained on kingbase by

dkappe, and there are numerous nets to choose from.

https://github.com/kennyfrc/nnue-networks/releases

What engine could use/run these kennyfrc nets?
Thanks!
personally i use Rodent with nnue, as i can create some interesting gm personalities. my nakamura personality, for example, matches his moves online and OTB over 50% of the time. these tuned personalities hover around 50-60% match, which is good because its not too high

So, the kennyfrc nets do work with Rodent-NNUE, is that confirmed?
A net is useless without an engine to run it.
yes they do! just rename the net you wanna use to the name of the one in the exe folder. also the nets work with any cfish 12 or engine using 20mb sf nets

Nezhman and Ghppn like this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyMon Jun 12, 2023 2:57 pm

Some things interesting to note:
80 NNUE and 20 Classic, or 65 NNUE and 35 Classic are the best strongest settings, also very human
The NNUE actually makes rodent a bit stronger covering many weaknesses in its eval. its at least 3000-3100 but probably the most human-like 3100 you'll ever see. I find rodent with the nn to be more human when i turn off selectivity pruning, making the depth much lower, but a more human search like 90s engines.
Here is a game of Rodent using a GM net, playing against Rebel 14 CSTal:
[pgn][Event "Test Games"]
[Site "Lucas Chess R 2.07a"]
[Date "2023.06.12"]
[White "Rebel Tal"]
[Black "Rodent GM"]
[Result "1/2-1/2"]
[ECO "B33"]
[TimeControl "180+2"]
[PlyCount "82"]
[Opening "Sicilian: Pelikan (Lasker/Sveshnikov) variation"]
[Termination "Draw by Agreement"]

1.e4 c5 2.Nf3 Nc6 3.d4 cxd4 4.Nxd4 Nf6 5.Nc3 e5 6.Ndb5 {[%emt 00:00:6.38]}{[%clk
00:02:55.62]} d6 {[%emt 00:00:6.00]}{[%clk 00:02:56.00]} 7.Nd5 {[%emt
00:00:4.51]}{[%clk 00:02:53.11]} Nxd5 {[%emt 00:00:4.41]}{[%clk 00:02:53.59]}
8.exd5 {[%emt 00:00:7.40]}{[%clk 00:02:47.72]} Ne7 {[%emt 00:00:4.37]}{[%clk
00:02:51.22]} 9.c4 {[%emt 00:00:4.60]}{[%clk 00:02:45.12]} Ng6 {[%emt
00:00:4.30]}{[%clk 00:02:48.92]} 10.g3 {[%emt 00:00:5.07]}{[%clk 00:02:42.05]}
Be7 {[%emt 00:00:4.24]}{[%clk 00:02:46.68]} 11.h4 {[%emt 00:00:5.52]}{[%clk
00:02:38.53]} e4 {[%emt 00:00:4.18]}{[%clk 00:02:44.50]} 12.Be2 {[%emt
00:00:5.13]}{[%clk 00:02:35.40]} O-O {[%emt 00:00:4.12]}{[%clk 00:02:42.38]}
13.Qc2 {[%emt 00:00:8.03]}{[%clk 00:02:29.37]} a6 {[%emt 00:00:4.08]}{[%clk
00:02:40.30]} 14.Nc3 {[%emt 00:00:5.32]}{[%clk 00:02:26.05]} f5 {[%emt
00:00:4.02]}{[%clk 00:02:38.28]} 15.Be3 {[%emt 00:00:6.55]}{[%clk 00:02:21.50]}
b5 {[%emt 00:00:3.98]}{[%clk 00:02:36.29]} 16.h5 {[%emt 00:00:6.41]}{[%clk
00:02:17.08]} Ne5 {[%emt 00:00:3.94]}{[%clk 00:02:34.36]} 17.h6 {[%emt
00:00:4.34]}{[%clk 00:02:14.74]} g5 {[%emt 00:00:3.87]}{[%clk 00:02:32.49]}
18.Rh5 {[%emt 00:00:3.95]}{[%clk 00:02:12.79]} bxc4 {[%emt 00:00:3.85]}{[%clk
00:02:30.64]} 19.Qd2 {[%emt 00:00:7.33]}{[%clk 00:02:7.47]} g4 {[%emt
00:00:3.79]}{[%clk 00:02:28.85]} 20.Kf1 {[%emt 00:00:8.10]}{[%clk 00:02:1.36]}
Qe8 {[%emt 00:00:3.76]}{[%clk 00:02:27.10]} 21.Rh1 {[%emt 00:00:5.78]}{[%clk
00:01:57.58]} Bf6 {[%emt 00:00:3.69]}{[%clk 00:02:25.41]} 22.Rc1 {[%emt
00:00:5.65]}{[%clk 00:01:53.94]} Nd3 {[%emt 00:00:3.66]}{[%clk 00:02:23.75]}
23.Rc2 {[%emt 00:00:4.63]}{[%clk 00:01:51.31]} Rb8 {[%emt 00:00:3.62]}{[%clk
00:02:22.13]} 24.Nd1 {[%emt 00:00:4.34]}{[%clk 00:01:48.98]} Bb7 {[%emt
00:00:3.58]}{[%clk 00:02:20.55]} 25.Rxc4 {[%emt 00:00:8.41]}{[%clk 00:01:42.56]}
Bxd5 {[%emt 00:00:3.54]}{[%clk 00:02:19.01]} 26.Rc7 {[%emt 00:00:5.06]}{[%clk
00:01:39.50]} Rf7 {[%emt 00:00:3.51]}{[%clk 00:02:17.50]} 27.Ra7 {[%emt
00:00:3.47]}{[%clk 00:01:38.04]} Bxa2 {[%emt 00:00:3.47]}{[%clk 00:02:16.04]}
28.Qa5 {[%emt 00:00:3.46]}{[%clk 00:01:36.58]} Be6 {[%emt 00:00:3.41]}{[%clk
00:02:14.63]} 29.Rxa6 {[%emt 00:00:3.35]}{[%clk 00:01:35.23]} Bc4 {[%emt
00:00:3.39]}{[%clk 00:02:13.24]} 30.Rb6 {[%emt 00:00:4.35]}{[%clk 00:01:32.88]}
d5 {[%emt 00:00:3.35]}{[%clk 00:02:11.89]} 31.Rxb8 {[%emt 00:00:4.86]}{[%clk
00:01:30.02]} Qxb8 {[%emt 00:00:3.52]}{[%clk 00:02:10.37]} 32.Rh5 {[%emt
00:00:3.01]}{[%clk 00:01:29.01]} d4 {[%emt 00:00:3.38]}{[%clk 00:02:8.99]}
33.Qxf5 {[%emt 00:00:3.21]}{[%clk 00:01:27.79]} dxe3 {[%emt 00:00:3.23]}{[%clk
00:02:7.76]} 34.Qxe4 {[%emt 00:00:3.62]}{[%clk 00:01:26.18]} Nxf2 {[%emt
00:00:3.22]}{[%clk 00:02:6.54]} 35.Qxc4 {[%emt 00:00:4.66]}{[%clk 00:01:23.52]}
Nxd1 {[%emt 00:00:3.17]}{[%clk 00:02:5.37]} 36.Bxd1 {[%emt 00:00:3.65]}{[%clk
00:01:21.87]} Qxg3 {[%emt 00:00:3.15]}{[%clk 00:02:4.22]} 37.Qc8+ {[%emt
00:00:4.21]}{[%clk 00:01:19.65]} Bd8+ {[%emt 00:00:3.13]}{[%clk 00:02:3.09]}
38.Rf5 {[%emt 00:00:3.05]}{[%clk 00:01:18.60]} Qc7 {[%emt 00:00:3.11]}{[%clk
00:02:1.98]} 39.Qe6 {[%emt 00:00:1.04]}{[%clk 00:01:19.56]} Kf8 {[%emt
00:00:3.07]}{[%clk 00:02:0.91]} 40.Bxg4 {[%emt 00:00:3.70]}{[%clk 00:01:17.86]}
Bg5 {[%emt 00:00:0.12]}{[%clk 00:02:2.79]} 41.Kg2 {[%emt 00:00:3.91]}{[%clk
00:01:15.95]} Qc2+ {[%emt 00:00:3.09]}{[%clk 00:02:1.70]}[/pgn]

Nezhman, texium and Ghppn like this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyMon Jun 12, 2023 3:26 pm

Here's another great game where the tal personality shreds Nakamura, in tal-like style, also creating a sound, creative novelty in the Snake benoni
[pgn][Event "gm games"]
[Site "Lucas Chess R 2.06b"]
[Date "2023.04.18"]
[White "Tal GM"]
[Black "Nakamura"]
[Result "1-0"]
[BlackElo "2800"]
[TimeControl "180+5"]
[PlyCount "68"]
[Termination "Adjudication"]

1. d4 Nf6 2. c4 e6 3. Nc3 c5 4.d5 exd5 5.cxd5 Bd6 6.g4 Nxg4 7.Nf3 O-O 8.Rg1 f5 9.Bd2 Ne5 10.e3 a6 11.Ng5 h6
12.Nf3 b5 13.Nxe5 Bxe5 14.Qh5 Kh8 15.f4 Bf6 16.d6 Bb7 17.O-O-O Qe8 18.Rg6 Nc6
19.Rxh6+ gxh6 20.Qxh6+ Kg8 21.Bc4+ bxc4 22.Nd5 Qd8 23.Bc3 Nd4 24.Qg6+ Bg7
25.Ne7+ Qxe7 26.dxe7 Ne2+ 27.Kd2 Nxc3 28.exf8=Q+ Rxf8 29.bxc3 Be4 30.Rg1 Rf7
31.h4 Kf8 32.Qd6+ Ke8 33.Rg6 Bf3 34.Qb8+ Ke7[/pgn]

Nezhman and Ghppn like this post

Back to top Go down
Nezhman




Posts : 74
Join date : 2020-11-27

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyTue Jun 13, 2023 5:56 am

texium wrote:
Here's another great game where the tal personality shreds Nakamura, in tal-like style, also creating a sound, creative novelty in the Snake benoni
[pgn][Event "gm games"]
[Site "Lucas Chess R 2.06b"]
[Date "2023.04.18"]
[White "Tal GM"]
[Black "Nakamura"]
[Result "1-0"]
[BlackElo "2800"]
[TimeControl "180+5"]
[PlyCount "68"]
[Termination "Adjudication"]

1. d4 Nf6 2. c4 e6 3. Nc3 c5 4.d5 exd5 5.cxd5 Bd6 6.g4 Nxg4 7.Nf3 O-O 8.Rg1 f5 9.Bd2 Ne5 10.e3 a6 11.Ng5 h6
12.Nf3 b5 13.Nxe5 Bxe5 14.Qh5 Kh8 15.f4 Bf6 16.d6 Bb7 17.O-O-O Qe8 18.Rg6 Nc6
19.Rxh6+ gxh6 20.Qxh6+ Kg8 21.Bc4+ bxc4 22.Nd5 Qd8 23.Bc3 Nd4 24.Qg6+ Bg7
25.Ne7+ Qxe7 26.dxe7 Ne2+ 27.Kd2 Nxc3 28.exf8=Q+ Rxf8 29.bxc3 Be4 30.Rg1 Rf7
31.h4 Kf8 32.Qd6+ Ke8 33.Rg6 Bf3 34.Qb8+ Ke7[/pgn]

Interesting, was 'Nakamura' also a Rodent personality?
Curious, where did the book end in the above game?

By the way, I reposted your link to kennyfrc's nets in the talkchess forum! Smile

Ghppn likes this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyWed Jun 14, 2023 8:12 am

Nezhman wrote:
texium wrote:
Here's another great game where the tal personality shreds Nakamura, in tal-like style, also creating a sound, creative novelty in the Snake benoni
[pgn][Event "gm games"]
[Site "Lucas Chess R 2.06b"]
[Date "2023.04.18"]
[White "Tal GM"]
[Black "Nakamura"]
[Result "1-0"]
[BlackElo "2800"]
[TimeControl "180+5"]
[PlyCount "68"]
[Termination "Adjudication"]

1. d4 Nf6 2. c4 e6 3. Nc3 c5 4.d5 exd5 5.cxd5 Bd6 6.g4 Nxg4 7.Nf3 O-O 8.Rg1 f5 9.Bd2 Ne5 10.e3 a6 11.Ng5 h6
12.Nf3 b5 13.Nxe5 Bxe5 14.Qh5 Kh8 15.f4 Bf6 16.d6 Bb7 17.O-O-O Qe8 18.Rg6 Nc6
19.Rxh6+ gxh6 20.Qxh6+ Kg8 21.Bc4+ bxc4 22.Nd5 Qd8 23.Bc3 Nd4 24.Qg6+ Bg7
25.Ne7+ Qxe7 26.dxe7 Ne2+ 27.Kd2 Nxc3 28.exf8=Q+ Rxf8 29.bxc3 Be4 30.Rg1 Rf7
31.h4 Kf8 32.Qd6+ Ke8 33.Rg6 Bf3 34.Qb8+ Ke7[/pgn]

Interesting, was 'Nakamura' also a Rodent personality?
Curious, where did the book end in the above game?

By the way, I reposted your link to kennyfrc's nets in the talkchess forum! Smile
no its not. its one i made based on the fischer personality, then tuned through move matching of hikaru's OTB and online games. Over 300 moves at d8, it gets at least 50% which isnt bad

Nezhman likes this post

Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyWed Jun 14, 2023 8:25 am

Nezhman wrote:
texium wrote:
Here's another great game where the tal personality shreds Nakamura, in tal-like style, also creating a sound, creative novelty in the Snake benoni
[pgn][Event "gm games"]
[Site "Lucas Chess R 2.06b"]
[Date "2023.04.18"]
[White "Tal GM"]
[Black "Nakamura"]
[Result "1-0"]
[BlackElo "2800"]
[TimeControl "180+5"]
[PlyCount "68"]
[Termination "Adjudication"]

1. d4 Nf6 2. c4 e6 3. Nc3 c5 4.d5 exd5 5.cxd5 Bd6 6.g4 Nxg4 7.Nf3 O-O 8.Rg1 f5 9.Bd2 Ne5 10.e3 a6 11.Ng5 h6
12.Nf3 b5 13.Nxe5 Bxe5 14.Qh5 Kh8 15.f4 Bf6 16.d6 Bb7 17.O-O-O Qe8 18.Rg6 Nc6
19.Rxh6+ gxh6 20.Qxh6+ Kg8 21.Bc4+ bxc4 22.Nd5 Qd8 23.Bc3 Nd4 24.Qg6+ Bg7
25.Ne7+ Qxe7 26.dxe7 Ne2+ 27.Kd2 Nxc3 28.exf8=Q+ Rxf8 29.bxc3 Be4 30.Rg1 Rf7
31.h4 Kf8 32.Qd6+ Ke8 33.Rg6 Bf3 34.Qb8+ Ke7[/pgn]


Interesting, was 'Nakamura' also a Rodent personality?
Curious, where did the book end in the above game?


By the way, I reposted your link to kennyfrc's nets in the talkchess forum! Smile
Book ended by move 4 which makes the 6. g4 novelty a really interesting move thats essentially unplayed entirely besides a few lichess games.

Nezhman likes this post

Back to top Go down
Nezhman




Posts : 74
Join date : 2020-11-27

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyWed Jun 14, 2023 11:41 pm

texium wrote:
Nezhman wrote:
texium wrote:
Here's another great game where the tal personality shreds Nakamura, in tal-like style, also creating a sound, creative novelty in the Snake benoni
[pgn][Event "gm games"]
[Site "Lucas Chess R 2.06b"]
[Date "2023.04.18"]
[White "Tal GM"]
[Black "Nakamura"]
[Result "1-0"]
[BlackElo "2800"]
[TimeControl "180+5"]
[PlyCount "68"]
[Termination "Adjudication"]

1. d4 Nf6 2. c4 e6 3. Nc3 c5 4.d5 exd5 5.cxd5 Bd6 6.g4 Nxg4 7.Nf3 O-O 8.Rg1 f5 9.Bd2 Ne5 10.e3 a6 11.Ng5 h6
12.Nf3 b5 13.Nxe5 Bxe5 14.Qh5 Kh8 15.f4 Bf6 16.d6 Bb7 17.O-O-O Qe8 18.Rg6 Nc6
19.Rxh6+ gxh6 20.Qxh6+ Kg8 21.Bc4+ bxc4 22.Nd5 Qd8 23.Bc3 Nd4 24.Qg6+ Bg7
25.Ne7+ Qxe7 26.dxe7 Ne2+ 27.Kd2 Nxc3 28.exf8=Q+ Rxf8 29.bxc3 Be4 30.Rg1 Rf7
31.h4 Kf8 32.Qd6+ Ke8 33.Rg6 Bf3 34.Qb8+ Ke7[/pgn]


Interesting, was 'Nakamura' also a Rodent personality?
Curious, where did the book end in the above game?


By the way, I reposted your link to kennyfrc's nets in the talkchess forum! Smile
Book ended by move 4 which makes the 6. g4 novelty a really interesting move thats essentially unplayed entirely besides a few lichess games.

Very interesting - I have 1 game from 2021 with 6.g4, played by a 2350 player in an online Zonal.
Back to top Go down
texium




Posts : 125
Join date : 2022-07-19

Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games EmptyThu Jun 15, 2023 4:21 am

Nezhman wrote:
Very interesting - I have 1 game from 2021 with 6.g4, played by a 2350 player in an online Zonal.
exactly, the snake benoni is of course very uncommon, but still a very interesting idea, because black must take which allows you to open the g-file
Back to top Go down
Sponsored content





Neural Nets (not Maia) trained on Human Games Empty
PostSubject: Re: Neural Nets (not Maia) trained on Human Games   Neural Nets (not Maia) trained on Human Games Empty

Back to top Go down
 
Neural Nets (not Maia) trained on Human Games
Back to top 
Page 1 of 1

Permissions in this forum:You cannot reply to topics in this forum
ProDeo :: Computer Chess-
Jump to: