Memory Kernel in the Expertise of Chess Players

摘要: In this work we investigate a mechanism for the emergence of long-range time correlations observed in chronologically ordered database chess games. We analyze modified Yule-Simon preferential growth process proposed by Cattuto et al., which includes memory effects means probabilistic kernel. According to Hurst exponent different constructed series from record games, artificially generated databases model exhibit similar correlations. addition, inter-event frequency distribution is well reproduced realistic parameter values. particular, find properties be correlated with expertise players through kernel extension. Our provides new information about strategies implemented levels expertise, showing an interesting example how popularities and build together during collective learning process.