Artículo
Memory and long-range correlations in chess games
Fecha de publicación:
09/2013
Editorial:
Elsevier Science
Revista:
Physica A: Statistical Mechanics and its Applications
ISSN:
0378-4371
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Long Range Correlations
,
Zip'S Law
,
Interdisciplinary Physics
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Articulos(IFEG)
Articulos de INST.DE FISICA ENRIQUE GAVIOLA
Articulos de INST.DE FISICA ENRIQUE GAVIOLA
Citación
Perotti, Juan Ignacio; Schaigorodsky, Ana Laura; Billoni, Orlando Vito; Memory and long-range correlations in chess games; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 394; 9-2013; 304-311
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