The Xoshiro+ pseudorandom number generator in a computer chess program

dc.contributor.authorSchären, Tim Micha
dc.contributor.authorHanne, Thomas
dc.contributor.authorDornberger, Rolf
dc.contributor.editorAbraham, Ajith
dc.contributor.editorEngelbrecht, Andries
dc.contributor.editorScotti, Fabio
dc.contributor.editorGandhi, Niketa
dc.contributor.editorMishrai, Pooja Manghirmalan
dc.contributor.editorFortino, Giancarlo
dc.contributor.editorSakalauskas, Virgilijus
dc.contributor.editorPllana, Sabri
dc.date.accessioned2025-03-13T15:31:21Z
dc.date.issued2022
dc.description.abstractSince 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.
dc.event13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)
dc.identifier.doihttps://doi.org/10.1007/978-3-030-96302-6_3
dc.identifier.isbn978-3-030-96301-9
dc.identifier.isbn978-3-030-96302-6
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48192
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofProceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
dc.relation.ispartofseriesLecture Notes in Networks and Systems
dc.spatialCham
dc.subject.ddc330 - Wirtschaft
dc.titleThe Xoshiro+ pseudorandom number generator in a computer chess program
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination33-42
fhnw.publicationStatePublished
fhnw.seriesNumber417
relation.isAuthorOfPublication43b2a72e-cdf5-4c98-bc77-1977ff5a4ee5
relation.isAuthorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isAuthorOfPublication64196f63-c326-4e10-935d-6776cc91354c
relation.isAuthorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
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