文章基本信息

标题：Universality Classes and Information-Theoretic Measures of Complexity via Group Entropies
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作者：Piergiulio Tempesta ; Henrik Jeldtoft Jensen
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2020
卷号：10
期号：1
页码：1-11
DOI：10.1038/s41598-020-60188-y
出版社：Springer Nature
摘要：We introduce a class of information measures based on group entropies, allowing us to describe the information-theoretical properties of complex systems. These entropic measures are nonadditive, and are mathematically deduced from a series of natural axioms. In addition, we require extensivity in order to ensure that our information measures are meaningful. The entropic measures proposed are suitably defined for describing universality classes of complex systems, each characterized by a specific state space growth rate function.