Discrete Dynamics in Nature and Society

Discrete Chaotic Dynamics for Economics and Social Science


Publishing date
04 Nov 2016
Status
Published
Submission deadline
17 Jun 2016

1Aristotle University of Thessaloniki, Thessaloniki, Greece

2Vel Tech University, Chennai, India

3Hanoi University of Science and Technology, Hanoi, Vietnam

4Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Puebla, Mexico


Discrete Chaotic Dynamics for Economics and Social Science

Description

Discrete chaotic dynamical systems deal with the maps that are extremely sensitive to their initial conditions, which are known as the butterfly effect. The discrete chaotic dynamical systems are characterized by the existence of a positive Lyapunov exponent. It is well-known that even a first-order discrete dynamical system can exhibit an astonishing variety of dynamical behavior ranging from stable fixed points to chaotic regions. Discrete chaotic dynamical systems have emerged as an important field of research in science and engineering especially in areas such as biology, economics, cryptosystems, and secure communications.

This special issue is focused upon the modeling and applications of discrete chaotic dynamics in the two fields: economics and social science. In the research, several control algorithms and techniques have been developed to study and control the discrete control systems such as active control, adaptive control, backstepping control, sliding mode control, fuzzy logic control, artificial neural networks, and evolutionary algorithms. This special issue also focuses on control methodologies for the discrete chaotic dynamics with applications for social and financial systems.

We encourage submissions that offer an insight into fundamental concepts of discrete chaotic dynamical systems in economics and social science such as global behaviors, bifurcation analysis, and Lyapunov exponents of discrete chaotic systems, discrete dynamical modeling and especially discrete or digital control systems, discrete optimal control systems, discrete chaos synchronization, and discrete optimization methods.

We also welcome papers that go beyond unifying the previous theoretical and empirical work on discrete chaotic dynamical systems in economics and social science and explore emerging phenomena and novel research areas that merit development. Such papers would not only explain clearly the importance of the phenomena that discrete chaotic systems present such as positive Lyapunov exponents, but also describe the critical prospects of the discrete chaotic systems under study.

Potential topics include, but are not limited to:

  • Discrete chaos in economics
  • Discrete chaos in social science
  • Discrete chaos synchronization
  • Discrete chaotic dynamics
  • Discrete control systems
  • Discrete dynamical modeling
  • Discrete optimal control systems
  • Discrete optimization methods
Discrete Dynamics in Nature and Society
 Journal metrics
Acceptance rate21%
Submission to final decision58 days
Acceptance to publication86 days
CiteScore0.990
Impact Factor0.973
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