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