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On the cover: The rising in the popularity of big data, artificial intelligence, and simulation technologies has opened up new opportunities for the development of our society. The close integration of real and artificial societies has become a trend, bringing in novel concepts such as parallel society and metaverse. The artificial society system describes, predicts, and guides the real society system, in a closed-loop, iterative, and spiral-rising way, forming a new mode of social operation driven by Data-AI-Simulation techniques. In the future, with the further development of interdisciplinary cooperation and the continuous advancement of technologies, living in metaverse is within reach. |
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Position: Home > issue > September 13, 2022 Volume 3, Issue 5 |
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Strategy evaluation and optimization with an artificial society toward a Pareto optimum |
Category: Perspective Download: PDF Figure Endnote |
Author: Zhengqiu Zhu, Bin Chen, Hailiang Chen, Sihang Qiu, Changjun Fan, Yong Zhao, Runkang Guo, Chuan Ai, Zhong Liu, Zhiming Zhao, Liqun Fang, Xin Lu |
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Overview of the proposed universal computational experiment framework for strategy evaluation and optimization in a fine-grained artificial society
Strategy evaluation and optimization in response to troubling urban issues has become a challenging issue due to increasing social uncertainty, unreliable predictions, and poor decision-making. To address this problem, we propose a universal computational experiment framework with a fine-grained artificial society that is integrated with data-based models. The purpose of the framework is to evaluate the consequences of various combinations of strategies geared towards reaching a Pareto optimum with regards to efficacy versus costs.

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