From Agent Simulation to Social Simulator: A Comprehensive Review (Part 1)

Xiao Xue, Deyu Zhou, Ming Zhang, Fei-Yue Wang
10/21/2025
cs.MA

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Abstract

This is the first part of the comprehensive review, focusing on the historical development of Agent-Based Modeling (ABM) and its classic cases. It begins by discussing the development history and design principles of Agent-Based Modeling (ABM), helping readers understand the significant challenges that traditional physical simulation methods face in the social domain. Then, it provides a detailed introduction to foundational models for simulating social systems, including individual models, environmental models, and rule-based models. Finally, it presents classic cases of social simulation, covering three types: thought experiments, mechanism exploration, and parallel optimization.

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Cite this paper

@article{xue2025from,
  title  = {From Agent Simulation to Social Simulator: A Comprehensive Review (Part 1)},
  author = {Xiao Xue and Deyu Zhou and Ming Zhang and Fei-Yue Wang},
  year   = {2025},
  eprint = {2510.18271},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2510.18271v1}
}

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