deeds_chess_system

[deeds]

On public forums we can send private messages and use a nickname to hide our public identity.

On public forums there are private sections where moderators plot and judge behind closed doors.

On chess public forums there are private engines with unofficial links without source code or documentation.

Like all my friends and family, you have already obtained the password to download the games and my personalized advice.

Nothing prevents you from sharing these games. I don't do it myself because the public is not ready and I do not want to justify myself to unkown people.

[Homayoun]

Hi deeds
I think when you publish your test and final results in a forum as an article ,you have made it a subject to judgment by others and unknown people. Also I think that nobody can abuse or misuse of PGN games. I do not have the password now. I mean my mailbox is empty. It seems there is a problem
with private messages in this forum.

best regards

[deeds]

I think when you publish your test and final results in a forum as an article ,you have made it a subject to judgment by others and unknown people.

99.99% of them don't train chess engines, they don't have their own experience files and even less reinforce them. They are not ready so no time to waste justifying myself.

I do not have the password now. I mean my mailbox is empty. It seems there is a problem with private messages in this forum.

I have already proposed several solutions to this problem.

[Homayoun]

I think when you publish your test and final results in a forum as an article ,you have made it a subject to judgment by others and unknown people.

99.99% of them don't train chess engines, they don't have their own experience files and even less reinforce them. They are not ready so no time to waste justifying myself.

I do not have the password now. I mean my mailbox is empty. It seems there is a problem with private messages in this forum.

I have already proposed several solutions to this problem.

OK. Thanks deeds.

[deeds]

hardware : dual xeon e5-2660v3
software : cutechess 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men

Opening list : Jeroen Noomen's 100 best 2017 openings

Code: Select all

   # PLAYER                :  RATING  ERROR  POINTS  PLAYED   (%)    W    D    L  D(%)  OppAvg  OppN
   1 deeds_chess_system    :       0   ----   109.0     200  54.5   18  182    0  91.0     -32     1
   2 stockfish 15.1        :     -32     36    91.0     200  45.5    0  182   18  91.0       0     1

White advantage = 28.33 +/- 17.15
Draw rate (equal opponents) = 50.00 % +/- 0.00

link : games
only for friends and family (request password and information by PM)

[deeds]

hardware : dual xeon e5-2660v3
software : cutechess 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men

Opening list : YHWH's 130 openings

Code: Select all

   # PLAYER                :  RATING  ERROR  POINTS  PLAYED   (%)    W    D    L  D(%)  OppAvg  OppN
   1 deeds_chess_system    :       0   ----   136.5     260  52.5   13  247    0  95.0     -18     1
   2 stockfish 15.1        :     -18     31   123.5     260  47.5    0  247   13  95.0       0     1

White advantage = 17.58 +/- 15.22
Draw rate (equal opponents) = 50.00 % +/- 0.00

link : games
only for friends and family (request password and information by PM)

[Anton101]

Hi! P...of...St!

Still writing monkey bussiness?

[deeds]

hardware : dual xeon e5-2660v3
software : cutechess 1.2.0
settings : TC 60s+1s, 40 threads, hash 4096 MB, partial syzygy 7men

Opening list : Jeroen Noomen's 2017 selection 100 openings

Code: Select all

   # PLAYER                :  RATING  ERROR  POINTS  PLAYED   (%)    W    D    L  D(%)  OppAvg  OppN
   1 deeds_chess_system    :       0   ----   106.5     200  53.3   15  183    2  91.5     -23     1
   2 stockfish 15.1        :     -23     36    93.5     200  46.8    2  183   15  91.5       0     1

White advantage = 26.45 +/- 17.34
Draw rate (equal opponents) = 50.00 % +/- 0.00

link : games
only for friends and family (request password and information by PM)

[deeds]

After 8 opening's lists :

Code: Select all

   # PLAYER                :  RATING  ERROR  POINTS  PLAYED   (%)    W    D    L  D(%)  OppAvg  OppN
   1 deeds_chess_system    :       0   ----   616.5    1080  57.1  163  907   10  84.0     -51     1
   2 stockfish 15.1        :     -51     14   463.5    1080  42.9   10  907  163  84.0       0     1

White advantage = 44.30 +/- 7.64
Draw rate (equal opponents) = 50.00 % +/- 0.00

Code: Select all

002 players        : avg. D34, 001 795 ms/move, 001 080 games, 00 107 088 moves

deeds_chess_system : avg. D33, 001 989 ms/move, 001 080 games, 00 052 826 moves
stockfish 15.1     : avg. D34, 001 606 ms/move, 001 080 games, 00 054 262 moves

Averages :
0 178 sec/game (3 min/game)
117 plies/game (099 played plies/game)

Game stages :
- opening @ avg. D28, 002 263 ms/move
- middleg @ avg. D31, 001 782 ms/move
- endgame @ avg. D41, 001 375 ms/move

Now that the D.C.S. "proof-of-concept" phase is over, It's time to do a partial lifting on the NDA of the DeeDs Chess System :

*** Prerequisite knowledge ***

TRAINING MODE (=default settings)

- By default, engines with learning features are set to regularly try new moves.

- Unlike all amnesiac engines like Stockfish, LC0, Komodo Dragon, etc, the learning engines don't always play the moves with the best evaluated scores.

- Sometimes the new moves are more effective, sometimes they are worse but in all cases they contribute to update the experience data.

As it is unlikely that tournaments of daily testers will allow them to play 500 times each opening (=minimum required to learn an opening), without knowing their effectiveness, each move is risky. Whenever you see tournaments (e.g. : link #1, link #2, link #3) with learning engines set to their default settings, the tournament's result will represent more the engine's evaluation than the quality of its experience.

TOURNAMENT MODE (=experience file as book, deeds chess system, etc.)

- when the positions have experience data, the learning engines must play their most effective moves and above all not risk trying others.

- when the positions do not have experience data, the learning engines evaluate and then add new moves to their experience file.

[deeds]

*** Experience file as book ***

For those who want an overview of the quality of their engine's experience, you can activate the "Experience book" experimental feature.
Then, you have to configure some options :

Experience Book Min Depth
=> set a shallow depth to allow your engine to play silly moves (like do some unenlightened testers)
=> set a great depth to force your engine to respect the reinforced experience data

Experience Book Eval Importance
=> set a low value if you believe in the efficiency of your experience data
=> set a high value if you believe in the evaluation of your engine

Experience Book Max Moves
=> set a low value if you have trained your engine little (<500 games/opening)
=> set a high value if you have trained your engine a lot (>1000 games/opening)