Full blog explaining analysis here: https://evidently.substack.com/p/programmable-alarm-clocks

Analysis using data on matches from World Championship Matches, Candidates events and Interzonals here: https://www.pgnmentor.com/files.html#events

Analysis using bigchess package in R and Stockfish UCI and graphics using ggplot in R.

I dont see much difference.

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It’s probably because game engines were once trained on past games and also that now players have started using computers to improve their game

So I’m not saying in the long run the difference will be 0. But it stands to reason that this is partly why they’re close

Interesting - reminds me of this: https://www.economist.com/graphic-detail/2021/11/26/who-will-win-the-world-chess-championship

There is not much but the small difference is interesting, it seems that humans slightly prefer to stay in the middle rather than using the border files, which makes sense since the middle pieces have a lot more potential of movement. The computer probably uses these border places better since it is planning the benefit of a move further into the future more often rather than the human tactic of developing to control most of the board.

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That’s a very fair point Reinforcement Learning and similar may independently come to similar solutions

I would be interesting in seeing what happens to algorithms trained on just RL mapped to this chart

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Nice responce.. Very usefull

Wouldn't expect there to be much of a difference. Computers really outpace humans when it comes to tactical calculations which wouldn't really show up on this.

The only important thing I got was that humans stick to the "control the center" principle a little too strongly

Yes that inspired me

Look harder

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Glad to know that H4 H5 is a computer staple, I've been noticing that.

I'm happy to hear that!