Lv, Zhihan, Ota, Kaoru, Lloret, Jaime, Xiang, Wei, and Bellavista, Paolo (2022) Complexity Problems Handled by Advanced Computer Simulation Technology in Smart Cities 2021. Complexity, 2022. 9847249.

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Abstract

Complexity science technology will bring opportunities for the continuous expansion of new simulation research fields, especially for human simulation, social simulation, and human brain simulation, and provide unprecedented opportunities for simulation for social governance, prediction, and urbanization. The development of complexity science technology provides an important opportunity to use modeling and simulation methods to study new virtual information spaces. As we all know, the advantage of modeling and simulation technology is to provide a bridge from the real world to the virtual space, which provides a substitute for studying the unknown fields of human society and the physical world.

However, virtual information spaces are a completely new virtual space that are completely different from the physical world and human society. This virtual space is not only “human, machine, and object” but also a space where the three notions are combined, and there are also the characteristics of multilayer mesh and cross-domain association. The study of this new virtual space is a complex and current scientific research area. On the basis of making full use of the results of complexity science research, using parallel systems, embedded simulation, and other methods to build a bridge to this new type of space, they provide a virtual alternative for the interaction or behavioral characteristics between the research. Using the results of complexity science to constantly modify and test the models built is an issue that needs to be addressed for the further development of modeling and simulation science.

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