In the realm of understanding complex systems, simulation serves as a fundamental tool for unraveling intricate dynamics. With the emergence of LLM-powered agents, we are witnessing a profound transformation in simulation methodologies.
Our mission with this repository is to curate an extensive collection of resources that showcase the intersection of simulation and LLM-agents. From papers to repositories and beyond, we aim to provide a comprehensive hub for researchers, enthusiasts, and practitioners interested in leveraging LLM technology for simulating complex phenomena.
We welcome contributions from the community to help us expand and enrich this repository further. Whether you have papers, repositories, or resources to share, we encourage you to submit pull requests or raise issues to help us keep this repository updated and relevant. Together, let's unlock new insights, push the boundaries of simulation technology, and pave the way for groundbreaking discoveries.
π₯ for papers with >20 citations or repositories with >50 stars.
π for papers accepted by reputed conferences/journals.
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π₯π [2024] "User Behavior Simulation with Large Language Model based Agents", L. Wang et al. Paper - Code
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π₯π [2024] "AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems", J. Zhang et al. Paper - Code
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π₯ [2023] "Simulating Social Media Using Large Language Models to Evaluate Alternative News Feed Algorithms", P. TΓΆrnberg et al. Paper
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π₯π [2023] "Generative Agents: Interactive Simulacra of Human Behavior", J. S. Park et al. Paper
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π₯π [2023] "Generative agent-based modeling: an introduction and tutorial", N. Ghaffarzadegan et al. Paper - Code
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π₯ [2023] "Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulations", Z. Wu et al. Paper - Code
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π₯ [2023] "War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars", W. Hua et al. Paper - Code
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π₯ [2023] "Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering", E. Junprung Paper - Code
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π₯ [2023] "Simulating Public Administration Crisis: A Novel Generative Agent-Based Simulation System to Lower Technology Barriers in Social Science Research", B. Xiao et al. Paper
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π₯ [2023] "Lyfe Agents: Generative agents for low-cost real-time social interactions", Z. Kaiya et al. Paper
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π₯ [2023] "Humanoid Agents: Platform for Simulating Human-like Generative Agents", Z. Wang et al. Paper - Code
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[2024] "Cultural evolution in populations of Large Language Models", J. Perez et al. Paper - Code
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π₯ π [2024] "Escalation Risks from Language Models in Military and Diplomatic Decision-Making", J. P. Rivera et al. Paper
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π₯ [2024] "Generative Agent Simulations of 1,000 People", J. S. Park et al. Paper - Code
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π₯ π [2024] "Simulating Opinion Dynamics with Networks of LLM-based Agents", Y. Chuang et al. Paper - Code
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π₯ [2024] "ElectionSim: Massive Population Election Simulation Powered by Large Language Model Driven Agents", X. Zhang et al. Paper
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π₯ [2024] "The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents", Y. Chuang et al. Paper
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π₯ [2024] "OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents", Y. Yan et al. Paper - Code
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π [2024] "Can Agents Spontaneously Form a Society? Introducing a Novel Architecture for Generative Multi-Agents to Elicit Social Emergence", H. Zhang et al. Paper
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π [2024] "Spontaneous Emergence of Agent Individuality Through Social Interactions in Large Language Model-Based Communities", R. Takata et al. Paper
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π₯ [2024] "Artificial Leviathan: Exploring Social Evolution of LLM Agents Through the Lens of Hobbesian Social Contract Theory", G. Dai et al. Paper
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π₯ π [2024] "Emergence of Social Norms in Large Language Model-based Agent Societies", S. Ren et al. Paper - Code
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π₯ [2024] "Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities", T. Ju et al. Paper
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[2024] "Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship", Z. R. Baker et al. Paper
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π [2024] "Comp-HuSim: Persistent Digital Personality Simulation Platform", C. Fan et al. Paper
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[2024] "Cultural Evolution of Cooperation among LLM Agents", A. Vallinder et al. Paper
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π [2025] "Emergent social conventions and collective bias in LLM populations", A. F. Ashery et al. Paper
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[2025] "AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society", J. Piao et al. Paper
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π₯ π [2025] "Investigating and Extending Homans' Social Exchange Theory with Large Language Model based Agents", L. Wang et al. Paper - Code
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π₯ π [2025] "Cooperate or Collapse: Emergence of Sustainability Behaviors in a Society of LLM Agents", G. Piatti et al. Paper - Code
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π [2025] "Integrating Large Language Models into Agent Models for Multi-Agent Simulations: Preliminary Report", H. Hattori et al. Paper
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π₯ π [2025] "Simulating Cooperative Prosocial Behavior with Multi-Agent LLMs: Evidence and Mechanisms for AI Agents to Inform Policy Decisions", K. Sreedhar et al. Paper
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[2025] "What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents", Z. Xue et al. Paper
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[2025] "Unmasking Conversational Bias in AI Multiagent Systems", E. Coppolillo et al. Paper
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π₯ [2023] "S3: Social-network Simulation System with Large Language Model-Empowered Agents", C. Gao et al. Paper
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π₯ [2023] "Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks", S. Li et al. Paper
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π₯ [2023] "Emergence of Scale-Free Networks in Social Interactions among Large Language Models", G. De Marzo et al. Paper
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π [2024] "Language Evolution for Evading Social Media Regulation via LLM-based Multi-agent Simulation", J. Cai et al. Paper
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π [2024] "Polarization of Autonomous Generative AI Agents Under Echo Chambers", M. Ohagi Paper
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[2024] "Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures", X. Li et al. Paper
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[2024] "A Simulation System Towards Solving Societal-Scale Manipulation", M. P. Touzel et al. Paper - Code
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π₯ π [2025] "Agent-Based Modelling Meets Generative AI in Social Network Simulations", A. Ferraro et al. Paper
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π [2025] "Can Generative Agent-Based Modeling Replicate the Friendship Paradox in Social Media Simulations?", G. M. Orlando et al. Paper - Code
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π₯ π [2025] "Network Formation and Dynamics among Multi-LLMs", M. Papachristou et al. Paper - Code
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π [2025] "Social opinions prediction utilizes fusing dynamics equation with LLM-based agents", J. Yao et al. Paper
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π [2025] "LLM-Based Multi-Agent Systems are Scalable Graph Generative Models", J. Ji et al. Paper - Code
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π₯ π [2025] "Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks", C. Wang et al. Paper - Code
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π [2024] "Can AI with High Reasoning Ability Replicate Human-like Decision Making in Economic Experiments?", A. Kitadai et al. Paper
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π₯ π [2024] "CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents", Q. Zhao et al. Paper - Code
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π₯ π [2024] "EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities", N. Li et al. Paper - Code
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π [2024] "SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent", J. Ji et al. Paper - Code
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π₯ [2024] "When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments", C. Zhang et al. Paper - Code
The repository is initially built and maintained by Gian Marco Orlando.