A Fisher-gradient complexity in systems with spatio-temporal dynamics
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- 作者：A. Arbonaa ; aarbona@iac3.eu" class="auth_mail" title="E-mail the corresponding author ; C. Bonaa ; cbona@uib.es" class="auth_mail" title="E-mail the corresponding author ; J. Massó ; a ; jmasso@iac3.eu" class="auth_mail" title="E-mail the corresponding author ; B. Miñ ; anoa ; bminyano@iac3.eu" class="auth_mail" title="E-mail the corresponding author ; A. Plastinob ; plastino@fisica.unlp.edu.ar" class="auth_mail" title="E-mail the corresponding author
- 关键词：Complexity ; Statistical complexity measures ; Spatial dynamical systems ; Collective Motion ; Fisher information
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：448
- 期：Complete
- 页码：216-223
- 全文大小：1923 K
文摘
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Statistical complexity measures (SCM) for spatio-temporal systems studied.
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We define a benchmark of complexity.
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We focus in particular on the Collective Motion model.
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We analyse LMC’s, Autocorrelation, and Fisher-gradient complexities.