Editorial Comment on the Special Issue of “Information in Dynamical Systems and Complex Systems”

Entropy

Jie Sun¹  Erik M. Bollt¹ 

[1] Department of Mathematics, Clarkson University, 8 Clarkson Ave, Potsdam, NY 13699-5815, USA;

关键词: information flow;    causality;    dynamical systems;    modeling;    complex systems;   

DOI  :  10.3390/e16095068

来源: DOAJ

【 摘 要 】

This special issue collects contributions from the participants of the “Information in Dynamical Systems and Complex Systems” workshop, which cover a wide range of important problems and new approaches that lie in the intersection of information theory and dynamical systems. The contributions include theoretical characterization and understanding of the different types of information flow and causality in general stochastic processes, inference and identification of coupling structure and parameters of system dynamics, rigorous coarse-grain modeling of network dynamical systems, and exact statistical testing of fundamental information-theoretic quantities such as the mutual information. The collective efforts reported here in reflect a modern perspective of the intimate connection between dynamical systems and information flow, leading to the promise of better understanding and modeling of natural complex systems and better/optimal design of engineering systems.

【 授权许可】

Unknown