The Xoshiro+ pseudorandom number generator in a computer chess program

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.

Schlagwörter

Fachgebiet (DDC)

330 - Wirtschaft

Projekt

Veranstaltung

13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)

Startdatum der Ausstellung

Enddatum der Ausstellung

Startdatum der Konferenz

Enddatum der Konferenz

Datum der letzten Prüfung

ISBN

978-3-030-96301-9
978-3-030-96302-6

ISSN

Sprache

Englisch

Während FHNW Zugehörigkeit erstellt

Ja

Zukunftsfelder FHNW

Publikationsstatus

Veröffentlicht

Begutachtung

Peer-Review der ganzen Publikation

Open Access-Status

Closed

Lizenz

Zitation

SCHÄREN, Tim Micha, Thomas HANNE und Rolf DORNBERGER, 2022. The Xoshiro+ pseudorandom number generator in a computer chess program. In: Ajith ABRAHAM, Andries ENGELBRECHT, Fabio SCOTTI, Niketa GANDHI, Pooja Manghirmalan MISHRAI, Giancarlo FORTINO, Virgilijus SAKALAUSKAS und Sabri PLLANA (Hrsg.), Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021). Cham: Springer. 2022. S. 33–42. Lecture Notes in Networks and Systems, 417. ISBN 978-3-030-96301-9. Verfügbar unter: https://irf.fhnw.ch/handle/11654/48192

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