Editorial Comment on the Special Issue of "Information in Dynamical Systems and Complex Systems"
arXiv:1505.04303 · doi:10.3390/e16094992
Abstract
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 herein 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.
References in corpus (6)
- Role of the conduction electrons in mediating exchange interactions in Heusler alloys
- Causation Entropy Identifies Indirect Influences, Dominance of Neighbors and Anticipatory Couplings
- Exchange interactions and Curie temperatures in Mn2CoZ compounds
- Ab initio prediction of ferrimagnetism, exchange interactions and Curie temperatures in Mn2TiZ Heusler compounds
- Identifying Coupling Structure in Complex Systems through the Optimal Causation Entropy Principle
- Information Anatomy of Stochastic Equilibria