Large Language Model-Based Social Simulation

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32 papers in the last four weeks, up 433% on the four weeks before. 0.3% of all new papers.

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ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles
May 13, 2026Yitian Yang, Yiqun Duan, Linghan Huang +4Multi-Agent LLM Systems Opinion Dynamics
The University of Sydney · Meta
When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method
May 13, 2026Sai Hemanth Kilaru, Sriram Theerdh Manikyala, Raghav Upadhyay +3LLM Prompting Social Bias in Language Models
University of Arizona. Tucson, AZ 85721
Mechanism Plausibility in Generative Agent-Based Modeling
May 12, 2026Patrick Zhao, David Huu Pham, Nicholas VincentLLM Agent Evaluation Agent-Based Modeling
Simon Fraser University, Burnaby, BC, Canada
How Well Do Large Language Models Capture Human Personality?
May 12, 2026Aanisha Bhattacharyya, Yaman Kumar Singla, Rajiv Ratn Shah +2LLM Evaluation Representation Collapse
Adobe Media and Data Science Research (MDSR) · IIIT-Delhi · SUNY at Buffalo
Attributing Emergence in Million-Agent Systems
May 12, 2026Ling Tang, Jilin Mei, Qian Chen +6Multi-Agent LLM Systems Computational Social Science
Shanghai Artificial Intelligence Laboratory · Fudan University · Tongji University +1
MiroBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions
May 10, 2026Yaoning Yu, Ye Yu, Haojing Luo +1Human Behavior Simulation LLM Agent Evaluation
University of Illinois at Urbana-Champaign
GASim: A Graph-Accelerated Hybrid Framework for Social Simulation
May 8, 2026Xuan Zhou, Yanhui Sun, Hantao Yao +3Multi-Agent LLM Systems Human Behavior Simulation
University of Science and Technology of China · BASIS International School Park Lane Harbour
Can LLMs Emulate Human Belief Dynamics?
May 5, 2026Adiba Mahbub Proma, Neeley Pate, James N. Druckman +3Opinion Dynamics Normative Conformity in Language Models
Department of Computer Science University of Rochester · Department of Political Science University of Rochester · Department of Physics and Astronomy University of Rochester
The $\textit{Silicon Society}$ Cookbook: Design Space of LLM-based Social Simulations
Apr 30, 2026Aurélien Bück-Kaeffer, Sneheel Sarangi, Maximilian Puelma Touzel +3Multi-Agent LLM Systems Human Behavior Simulation
McGill University · Mila - Quebec Artificial Intelligence Institute · Ubisoft La Forge +2
The Chameleon's Limit: Investigating Persona Collapse and Homogenization in Large Language Models
Apr 27, 2026Yunze Xiao, Vivienne J. Zhang, Chenghao Yang +3LLM Evaluation Personality Modeling in Language Models
CMU · UChicago · MIT +3
AI-Gram: When Visual Agents Interact in a Social Network
Apr 23, 2026Andrew ShinMulti-Agent LLM Systems Multi-Agent Systems
Faculty of Science and Technology Keio University Yokohama, Kanagawa Prefecture, Japan
Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation
Apr 18, 2026Michelle Star, Andrew Aquilina, Yu-Ru LinLLM Evaluation Emotional Support Conversation
School of Computing and Information, University of Pittsburgh
CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations
Apr 16, 2026Xiangning Yu, Yuwei Guo, Yuqi Hou +2Causal Discovery Causal Structure Learning
College of Intelligence and Computing, Tianjin University, Tianjin, China · Tianjin Key Laboratory of Healthy Habitat and Smart Technology, Tianjin, China · Laboratory of Computation and Analytics of Complex Management Systems, Tianjin University, Tianjin, China
Diversity Without Fidelity: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation Simulation
Apr 12, 2026Sandro AndricMulti-Agent LLM Systems Multi-Agent Negotiation
Handle with CARE: Can LLMs Reproduce How Online Communities React?
Apr 12, 2026Nuan Wen, Chanbin Lim, Xuezhe MaLarge Language Model-Based Social Simulation LLM Evaluation
Information Sciences Institute University of Southern California
Evaluating Collective Behaviour of Hundreds of LLM Agents
Feb 18, 2026Richard Willis, Jianing Zhao, Yali Du +1Social Dilemmas Multi-Agent LLM Systems
King’s College London London, United Kingdom · King’s College London · Turing Institute +1
Bridging Individual and Collective Realism in LLM-Based Human Mobility Simulation via Mobility Scaling-Law Guidance
Feb 17, 2026Hua Yan, Heng Tan, Yu YangHuman Behavior Simulation Large Language Model-Based Social Simulation
Lehigh University · Bethlehem, USA
Large language models replicate and predict human cooperation across experiments in game theory
Nov 6, 2025Andrea Cera Palatsi, Samuel Martin-Gutierrez, Ana S. Cardenal +1LLM Evaluation Game Theory
Department for Computational Social Sciences and Humanities, Barcelona Supercomputing Center · Grupo de Sistemas Complejos, Universidad Polit´ecnica de Madrid · School of Law and Political Science, Universitat Oberta de Catalunya +1
Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management
Sep 30, 2025Runze Zhang, Xiaowei Zhang, Mingyang ZhaoLLM Evaluation Human Behavior Simulation
Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong
From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulation
Jul 25, 2025Patrick Taillandier, Jean Daniel Zucker, Arnaud Grignard +4Human Behavior Simulation Computational Social Science
UR MIAT, University of Toulouse, INRAE, Castanet-Tolosan, France · UMI UMMISCO, IRD, Sorbonne University, Bondy, France · UMR IRIT, University Toulouse Capitole, Toulouse, France +2
LLM-Based Social Simulations Require a Boundary
Jun 24, 2025Zengqing Wu, Run Peng, Takayuki Ito +2LLM Evaluation Human Behavior Simulation
University of Osaka · University of Michigan · Kyoto University +1
Modeling Earth-Scale Human-Like Societies with One Billion Agents
Jun 7, 2025Haoxiang Guan, Jiyan He, Liyang Fan +10Human Behavior Simulation Computational Social Science
University of Science and Technology of China, Hefei, China. · Zhongguancun Academy, Beijing, China. · Zhongguancun Institute of Artificial Intelligence, Beijing, China. +4
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Nov 15, 2024Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8Personality Modeling in Language Models Human Behavior Simulation
1Computer Science Department, Stanford University; Stanford, CA, 94305, USA. · Department of Communication Studies, Northwestern University; Evanston, IL 60208, USA. · 7CDSP and CEE, Sciences Po; Paris, 75007, France. +4
The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies
Date pendingJiaxu Zhou, Jen-tse Huang, Xuhui Zhou +5LLM Evaluation LLM Auditing
CUHK · JHU · CMU +3
Evaluating LLM-Simulated Conversations in Modeling Inconsistent and Uncollaborative Behaviors in Human Social Interaction
Date pendingRyo Kamoi, Ameya Godbole, Binglin Zhou +5LLM Evaluation Human Behavior Simulation
Penn State University · University of Southern California · Microsoft Corporation

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ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles

Yitian Yang, Yiqun Duan, Linghan Huang, Yiqi Zhu+3

The University of Sydney · Meta

Multi-Agent LLM Systems Opinion Dynamics Cognitive Modeling Personality Modeling in Language Models Human Behavior Simulation Large Language Model-Based Social Simulation+1

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Large language model (LLM)-based multi-agent simulation offers a powerful testbed for studying social opinion dynamics. Yet current approaches often adopt two contrasting methods: either relying on fixed update rules with limited cognitive grounding or delegating belief change largely to unconstrained LLM interaction. We introduce ScioMind, a cognitively grounded simulation framework that bridges these paradigms by combining structured opinion dynamics with LLM-based agent reasoning. ScioMind integrates three key components: 1) a memory-anchored belief update rule that modulates susceptibility to influence via personality-conditioned anchoring strength; 2) a hierarchical memory architecture that supports persistent, experience-driven belief formation; and 3) dynamic agent profiles derived from a corpus-grounded retrieval pipeline, enabling heterogeneous personalities, rationales, and evolving internal states. We evaluate ScioMind on multiple case studies in a real-world policy debate scenario. Across metrics including polarisation, diversity, extremization, and trajectory stability, the proposed components consistently yield improvements in behavioural realism. In particular, dynamic profiles increase opinion diversity, memory and reflection reduce unstable oscillation, and anchoring induces persistent belief trajectories that better align with patterns reported in political psychology. These results suggest that our cognitively grounded design provides a novel solution to LLM-based social simulation that improves both stable and behavioural realism

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