Discrete Dynamics in Nature and Society

Modeling the Complexity and Dynamics of Socioeconomic Systems


Publishing date
01 Apr 2022
Status
Closed
Submission deadline
26 Nov 2021

Lead Editor

1Beijing Jiaotong University China, Beijing, China

2University of Maribor, Maribor, Slovenia

3Lakehead University, Thunder Bay, Canada

This issue is now closed for submissions.
More articles will be published in the near future.

Modeling the Complexity and Dynamics of Socioeconomic Systems

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Socio-economic systems are large systems with people at the core, including social, economic, educational, scientific, technological, and ecological environment fields, involving various aspects of human activities and the many complex factors of the living environment. The fundamental difference between socio-economic systems and physical systems is that there is a decision-making link in socio-economic systems, and the subjective consciousness of humans has a great influence on the system. Socio-economic systems are an important and typical complex system (also referred to as complex adaptive systems, CAS). In contrast to other systems (i.e., inanimate systems, biological and ecological systems), socio-economic systems have a number of special circumstances and properties that make them more difficult to recognize, describe, and control. Due to their complexity and dynamic nature, there is no "one-size-fits-all" solution to socio-economic system problems. In particular, many of these systems involve dynamic changes in people and society, and the problems themselves are constantly changing and evolving, inevitably requiring a deepening process of understanding, which also leads to the absence of precise and complete overall analytical models for such systems. Therefore, the exploration of the theories, methods, and techniques for effective modeling of the complexity and dynamics of socioeconomic systems represents a very promising area of research.

The complexity of socio-economic systems is a hot topic in current academic research. However, a unified definition has not yet been developed due to the lack of a rigorous formal theory. For a long period of time, research on the complexity and dynamics of socioeconomic systems has focused on the investigation of the characteristics of the distribution of various types of universal scales and their causes. We believe that the study of the complexity and dynamics of socio-economic systems needs to start from the process of development of processing techniques of system theory and face the complex phenomena of socio-economic systems directly. In addition, there is no optimal solution to the socio-economic system problem in the general sense, let alone a unique optimal solution.

The main purpose of this Special Issue is to provide an opportunity for academics and practitioners to explore modeling methods and techniques for examining the complexity and dynamics of socio-economic systems under current technological conditions and find effective solutions with dynamic adaptability. Topics related to logistics systems, finance systems, and production systems would be highly appreciated. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

  • Control and optimization modeling
  • Adaptation synergy and feedback regulation
  • Simulation of the evolution process
  • Multi-agent methods
  • Complex adaptive systems, multi-body systems, and evolutionary computing
  • Modeling self-organization behaviors
  • Cooperation and gaming problems
  • Pattern recognition, data mining techniques, and visualization technologies

Articles

  • Special Issue
  • - Volume 2022
  • - Article ID 1241122
  • - Research Article

Securing the IoT System of Smart City against Cyber Threats Using Deep Learning

Tanzila Saba | Amjad Rehman Khan | ... | Seng-phil Hong
  • Special Issue
  • - Volume 2022
  • - Article ID 3111200
  • - Research Article

Cloud-Based Framework for COVID-19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine

Amjad Rehman Khan | Tanzila Saba | ... | Seng-phil Hong
  • Special Issue
  • - Volume 2022
  • - Article ID 2717329
  • - Research Article

Government Subsidy Decision-Making for Waste Tire Recycling under the Coexistence of the Retailer and the Internet Recycling Platform

Fangmei Qi | Yuqi Fan | ... | Jin’e Zheng
  • Special Issue
  • - Volume 2022
  • - Article ID 8461406
  • - Research Article

Control Measures for Automobile Exhaust Emissions in PM2.5 Governance

Dong-Sheng Qin | Chang-Yuan Gao
  • Special Issue
  • - Volume 2022
  • - Article ID 6392172
  • - Research Article

The Influence of Green Marketing on Brand Trust: The Mediation Role of Brand Image and the Moderation Effect of Greenwash

Lanmeng Wu | Ziyang Liu
  • Special Issue
  • - Volume 2022
  • - Article ID 4560324
  • - Research Article

Study on the Optimization of the Synergy between the Regulatory Body, Social Body, and Market Body in the Transportation Industry

Wang Wanjiao | Huang Qilong
  • Special Issue
  • - Volume 2022
  • - Article ID 9547413
  • - Research Article

Modelling the Coupled and Coordinated Development between China’s Cross-border E-commerce Supply Chain and Economic System

Xinxin Li | Chunfang Zheng | Tongtong Wang
  • Special Issue
  • - Volume 2022
  • - Article ID 2817232
  • - Research Article

Innovation Facilitated by Universities: Balancing Enterprise and Regional Demands

Qi Wang | Ling-Na Zhang | Qi Lian
  • Special Issue
  • - Volume 2022
  • - Article ID 9443293
  • - Research Article

Smart Grid Information Management System Relying on MAS Technology and Complex Scientific Management Thinking

Jing Tong
  • Special Issue
  • - Volume 2022
  • - Article ID 2390896
  • - Research Article

Pricing Strategy of Electric Power Data Credit Product Based on Customer Value

Zhimin Wang | Di Wang
Discrete Dynamics in Nature and Society
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