Memory and long-range correlations in chess games

Fil: Schaigorodsky, Ana L. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.

Bibliographic Details
Main Authors: Schaigorodsky, Ana L., Perotti, Juan I., Billoni, Orlando V.
Format:
Language:eng
Published: 2022
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Online Access:http://hdl.handle.net/11086/28101
https://doi.org/10.48550/arXiv.1307.0729
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author Schaigorodsky, Ana L.
Perotti, Juan I.
Billoni, Orlando V.
author_facet Schaigorodsky, Ana L.
Perotti, Juan I.
Billoni, Orlando V.
author_sort Schaigorodsky, Ana L.
collection Repositorio Digital Universitario
description Fil: Schaigorodsky, Ana L. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
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spelling rdu-unc.281012022-10-13T11:07:56Z Memory and long-range correlations in chess games Schaigorodsky, Ana L. Perotti, Juan I. Billoni, Orlando V. Long-range correlations Zipfs law Interdisciplinary physics submittedVersion Fil: Schaigorodsky, Ana L. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Billoni, Orlando V. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Billoni, Orlando V. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Física Enrique Gaviola; Argentina. Fil: Billoni, Orlando V. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Fil: Perotti, Juan I. Aalto University. Department of Biomedical Engineering and Computational Science, Aalto University; Finland. In this paper we report the existence of long-range memory in the opening moves of a chronologically ordered set of chess games using an extensive chess database. We used two mapping rules to build discrete time series and analyzed them using two methods for detecting long-range correlations; rescaled range analysis and detrended fluctuation analysis. We found that long-range memory is related to the level of the players. When the database is filtered according to player levels we found differences in the persistence of the different subsets. For high level players, correlations are stronger at long time scales; whereas in intermediate and low level players they reach the maximum value at shorter time scales. This can be interpreted as a signature of the different strategies used by players with different levels of expertise. These results are robust against the assignation rules and the method employed in the analysis of the time series. submittedVersion Fil: Schaigorodsky, Ana L. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Billoni, Orlando V. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Fil: Billoni, Orlando V. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Física Enrique Gaviola; Argentina. Fil: Billoni, Orlando V. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Fil: Perotti, Juan I. Aalto University. Department of Biomedical Engineering and Computational Science, Aalto University; Finland. Otras Ciencias Físicas 2022-08-09T20:27:11Z 2022-08-09T20:27:11Z 2014 article http://hdl.handle.net/11086/28101 https://doi.org/10.48550/arXiv.1307.0729 eng https://doi.org/10.1016/j.physa.2013.09.035 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Impreso; Electrónico y/o Digital ISSN: 0378-4371
spellingShingle Long-range correlations
Zipfs law
Interdisciplinary physics
Schaigorodsky, Ana L.
Perotti, Juan I.
Billoni, Orlando V.
Memory and long-range correlations in chess games
title Memory and long-range correlations in chess games
title_full Memory and long-range correlations in chess games
title_fullStr Memory and long-range correlations in chess games
title_full_unstemmed Memory and long-range correlations in chess games
title_short Memory and long-range correlations in chess games
title_sort memory and long range correlations in chess games
topic Long-range correlations
Zipfs law
Interdisciplinary physics
url http://hdl.handle.net/11086/28101
https://doi.org/10.48550/arXiv.1307.0729
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