Memory and long-range correlations in chess games

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; rescal...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Schaigorodsky, Ana L., Perotti, Juan I., Billoni, Orlando V.
Formato: article
Lenguaje:Inglés
Publicado: 2022
Materias:
Long-range correlations
Zipfs law
Interdisciplinary physics
Acceso en línea:http://hdl.handle.net/11086/28101
https://doi.org/10.48550/arXiv.1307.0729
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R141-11086-28101
record_format dspace
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Long-range correlations
Zipfs law
Interdisciplinary physics
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
topic_facet Long-range correlations
Zipfs law
Interdisciplinary physics
description 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.
format article
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.
title Memory and long-range correlations in chess games
title_short 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_sort memory and long-range correlations in chess games
publishDate 2022
url http://hdl.handle.net/11086/28101
https://doi.org/10.48550/arXiv.1307.0729
work_keys_str_mv AT schaigorodskyanal memoryandlongrangecorrelationsinchessgames
AT perottijuani memoryandlongrangecorrelationsinchessgames
AT billoniorlandov memoryandlongrangecorrelationsinchessgames
bdutipo_str Repositorios
_version_ 1764820391861157891

Ejemplares similares