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Author Topic:   Generating information in a neural network playing chess
JonF
Member (Idle past 277 days)
Posts: 6174
Joined: 06-23-2003


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Message 1 of 2 (871450)
02-03-2020 10:10 AM


Complex information arising from random processes: the chess program AlphaZero
quote:
A sticking point among a lot of ID/Creationists seems to be whether information can be generated by a non-intelligent process.
Computer chess provides a very dramatic example. Previously, chess-playing algorithms were designed by software developers in concert with strong human players. In 2017, however, the AlphaZero program was created by initializing a neural net with the rules of chess, and then having it play millions of games against itself, updating its neural net with each game. After 24 hours of such self-play, AlphaZero won a 100-game match against Stockfish, the currently strongest human-designed algorithm, with the score of 28 wins, 82 draws, no losses. (It was not allowed to update its net based on its games with Stockfish, so did not learn from playing the champion; all it had was its experience playing against itself.)
Links and Information, I suppose.

Adminnemooseus
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Message 2 of 2 (871489)
02-04-2020 12:26 AM


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