{"ID":2852028,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.18271","arxiv_id":"2510.18271","title":"From Agent Simulation to Social Simulator: A Comprehensive Review (Part 1)","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.","short_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 phys...","url_abs":"https://arxiv.org/abs/2510.18271","url_pdf":"https://arxiv.org/pdf/2510.18271v1","authors":"[\"Xiao Xue\",\"Deyu Zhou\",\"Ming Zhang\",\"Fei-Yue Wang\"]","published":"2025-10-21T03:46:26Z","proceeding":"cs.MA","tasks":"[\"cs.MA\"]","methods":"[\"LoRA\"]","has_code":false}