High-order complex systems structure and modeling
|
Organizer(s): |
Name:
|
Affiliation:
|
Country:
|
Zhiyuan Dong
|
Harbin Institute of Technology, Shenzhen
|
Peoples Rep of China
|
Yi Zhao
|
Harbin Institute of Technology, Shenzhen
|
Peoples Rep of China
|
|
|
|
|
|
|
|
|
Introduction:
| | High-order complex systems refer to systems that exhibit intricate interconnections and dynamics among their components. These systems can be found in various domains, such as biology, ecology, social sciences, and computer networks. Modeling high-order complex systems is a crucial task to understand their behavior and make predictions. It is important to note that modeling high-order complex systems is a challenging task due to their inherent complexity and the uncertainties involved. Models may need to be refined and validated using empirical data to ensure their accuracy and reliability. Additionally, advances in computational power and data analysis techniques have significantly contributed to improving our understanding of high-order complex systems. In summary, this special session welcome all the related researchers on high-order complex systems to report their recents works and exchange brilliant ideas, including but not limited to modeling approaches, network modeling, agent-based modeling, and mathematical modeling techniques. |
|
|
|
|
|
