Next Article in Journal
Determination of Optimal Water Quality Monitoring Points in Sewer Systems using Entropy Theory
Next Article in Special Issue
A Discrete Meta-Control Procedure for Approximating Solutions to Binary Programs
Previous Article in Journal
A New Perspective on Classical Ideal Gases
Previous Article in Special Issue
Synchronization of a Class of Fractional-Order Chaotic Neural Networks
Article Menu

Export Article

Open AccessArticle
Entropy 2013, 15(9), 3396-3418; doi:10.3390/e15093396

Information Entropy As a Basic Building Block of Complexity Theory

1
School of Mechanical Engineering and China-Asean Research Institute, Guangxi University,100 Daxue Road, Nanning 530005, China
2
PMB Intelligence LLC, Sunnyvale, CA 94087, USA
3
Management School, University of Chinese Academy of Sciences, Beijing 100190, China
*
Author to whom correspondence should be addressed.
Received: 27 June 2013 / Revised: 12 August 2013 / Accepted: 12 August 2013 / Published: 29 August 2013
(This article belongs to the Special Issue Dynamical Systems)
View Full-Text   |   Download PDF [913 KB, uploaded 24 February 2015]   |  

Abstract

What is information? What role does information entropy play in this information exploding age, especially in understanding emergent behaviors of complex systems? To answer these questions, we discuss the origin of information entropy, the difference between information entropy and thermodynamic entropy, the role of information entropy in complexity theories, including chaos theory and fractal theory, and speculate new fields in which information entropy may play important roles. View Full-Text
Keywords: information entropy; thermodynamic entropy; emergence; chaos; fractal; complexity theory; multiscale analysis information entropy; thermodynamic entropy; emergence; chaos; fractal; complexity theory; multiscale analysis
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Gao, J.; Liu, F.; Zhang, J.; Hu, J.; Cao, Y. Information Entropy As a Basic Building Block of Complexity Theory. Entropy 2013, 15, 3396-3418.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top