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Open Access

Computational Experiments: Virtual Production and Governance Tool for Metaverse

Chao Peng1Xiangning Yu1Wanpeng Ma2Hayata Kaneko3Lin Meng3Yingyue Zhao4Xiao Xue1( )
College of Intelligence and Computing, Tianjin University, Tianjin 300072, China
Army Aviation Research Institute, Beijing 101121, China
College of Science and Engineering, Ritsumeikan University, Kusatsu 525-0058, Japan
School of Civil Engineering, Central South University, Changsha 410083, China
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Abstract

The metaverse, as an extension of the physical world, can be described as a highly immersive digital realm constructed with technologies such as mixed reality and digital modeling. It is rooted in decentralized principles and features novel economic forms, individual identities, and institutional systems. In this architecture, the entire social landscape is redefined under the logic of service, gradually becoming a service ecosystem operated and cooperated by numerous intelligent entities. To achieve sustainable and healthy development of the metaverse ecology, this paper first analyzes the operating logic of the metaverse from the perspective of the fusion of the cyber-physical-social tripartite world and the three typical complexity characteristics faced by it: evolutionary complexity, cognitive complexity, and regulatory complexity. Next, the paper focuses on introducing the idea and technical system of computational experiments as an analysis and governance tool for the metaverse service ecosystem. Then, it explores the integration of computational experiments and metaverse technology, including how computational experiments can be applied to the metaverse and how the metaverse can support computational experiments. Finally, the paper introduces the metaverse applications of computational experiments, covering fields such as industrial design, health care, social governance, and military reform.

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International Journal of Crowd Science
Pages 158-167

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Cite this article:
Peng C, Yu X, Ma W, et al. Computational Experiments: Virtual Production and Governance Tool for Metaverse. International Journal of Crowd Science, 2023, 7(4): 158-167. https://doi.org/10.26599/IJCS.2023.9100023

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Received: 20 June 2023
Revised: 30 July 2023
Accepted: 07 September 2023
Published: 22 December 2023
© The author(s) 2024.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).