The Xoshiro+ pseudorandom number generator in a computer chess program
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Author (Corporation)
Publication date
2022
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04B - Conference paper
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Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
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Lecture Notes in Networks and Systems
Series number
417
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Pages / Duration
33-42
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Springer
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Cham
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Abstract
Since computer chess programs can beat human capabilities, new ways are researched to further improve these programs. Pseudorandom number generators (PRNG) play an important role in computer chess. We implement Xoshiro+, a well-known and thoroughly tested PRNG, in Stockfish, the arguably most performant chess engine at the time. Stockfish itself uses Xorshift*. With the help of Cute Chess, a program allowing the automation of chess games, the new Stockfish variant Xoshirofish is tested against Stockfish. The results show a minute increase in the performance of Xoshirofish compared to Stockfish. However, further extensive testing is still required to assert the significance of this increase in performance.
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13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)
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ISBN
978-3-030-96301-9
978-3-030-96302-6
978-3-030-96302-6
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Language
English
Created during FHNW affiliation
Yes
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Publication status
Published
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Peer review of the complete publication
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Closed
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Citation
Schären, T. M., Hanne, T., & Dornberger, R. (2022). The Xoshiro+ pseudorandom number generator in a computer chess program. In A. Abraham, A. Engelbrecht, F. Scotti, N. Gandhi, P. M. Mishrai, G. Fortino, V. Sakalauskas, & S. Pllana (Eds.), Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) (pp. 33–42). Springer. https://doi.org/10.1007/978-3-030-96302-6_3