Information in Dynamical Systems and Complex Systems Summer 2013 Workshop
Abstract
We collect 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 07, 2014
- Accession Number
- ADA616285
Entities
People
- Erik Bollt
- Jie Sun
Organizations
- Clarkson University