发表机构
Department of Computer Science, University of Pisa; ISTI-CNR(皮萨大学计算机科学系; 意大利国家研究委员会信息与系统研究所)
机构由 AI 辅助整理,请以论文原文为准。AI 中文总结
探讨社会模拟从基于主体建模到数字孪生的演变,阐述了各阶段范式的方法论基础、应用等,强调从抽象模型到特定社会系统逼真计算表示的转变。
AI 中文摘要
本章涵盖了社会模拟的演变,从经典的基于主体的模型(其中主体根据明确界定的行为规则进行交互),到基于大语言模型的人工智能增强模拟,最终发展到社会数字孪生:真实世界社会技术系统的高保真、数据驱动表示。沿着这一轨迹,我们讨论了每种范式的主要方法论基础、应用、优势和局限性,强调了从旨在研究一般社会机制的抽象模型向特定社会系统日益逼真的计算表示的渐进转变。
英文摘要
This book chapter covers the evolution of social simulation from classical agent-based models, in which agents interact according to explicitly defined behavioral rules, to AI-enhanced simulations based on Large Language Models and, ultimately, Social Digital Twins: high-fidelity, data-driven representations of real-world socio-technical systems. Along this trajectory, we discuss the main methodological foundations, applications, advantages, and limitations of each paradigm, highlighting the progressive shift from abstract models designed to investigate general social mechanisms toward increasingly realistic computational representations of specific social systems.
CommentsEntry for Encyclopedia of Social Network Analysis and Mining