Simulating Public Administration Crisis: A Novel Generative Agent-Based Simulation System to Lower Technology Barriers in Social Science Research
On the map: LLM agents and tool use → Social simulation and multi-agent debate
Abstract (arXiv)
This article proposes a social simulation paradigm based on the GPT-3.5 large language model. It involves constructing Generative Agents that emulate human cognition, memory, and decision-making frameworks, along with establishing a virtual social system capable of stable operation and an insertion mechanism for standardized public events. The project focuses on simulating a township water pollution incident, enabling the comprehensive examination of a virtual government's response to a specific public administration event. Controlled variable experiments demonstrate that the stored memory in generative agents significantly influences both individual decision-making and social networks. The Generative Agent-Based Simulation System introduces a novel approach to social science and public administration research. Agents exhibit personalized customization, and public events are seamlessly incorporated through natural language processing. Its high flexibility and extensive social interaction render it highly applicable in social science investigations. The system effectively reduces the complexity associated with building intricate social simulations while enhancing its interpretability.
Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 18 of its 75 references that are in the map. First posted on arXiv 12 Nov 2023.
Builds on
18 of 75 references.
Closest ancestors · 2
Same direction, newest first
- 2023Epidemic Modeling with Generative Agents11 Jul
- 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr
Other references · 16
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- 2023The Devil is in the Details: On the Pitfalls of Event Extraction Evaluationcited by 19
- 2023Shaping the Emerging Norms of Using Large Language Models in Social Computing Researchcited by 14
- 2019Neural Mechanisms of Human Decision-Makingcited by 5
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Citing papers per year: 2024: 7; 2025: 13; 2026: 1.
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- 2025From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review28 Apr 2025
- 2025The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems17 Apr 2025
9 more
- 2025SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users14 Apr 2025
- 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations4 Apr 2025
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents4 Dec 2024
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- 2024When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings5 Jul 2024
- 2024PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration28 Jun 2024
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges21 Jan 2024
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 769
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agentscited by 82
- 2024Agents' Room: Narrative Generation through Multi-step Collaborationcited by 57
- 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulationscited by 28
- 2025GATSim: Urban Mobility Simulation with Generative Agentscited by 10
- 2025GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contractscited by 5
- 2025Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulationscited by 4
- 2025Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferencescited by 3
- 2025SimCity: Multi-Agent Urban Development Simulation with Rich Interactionscited by 2
- 2025Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulationscited by 2
- 2025Validating Generative Agent-Based Models for Logistics and Supply Chain Management Researchcited by 0
- 2025Static Sandboxes Are Inadequate: Modeling Societal Complexity Requires Open-Ended Co-Evolution in LLM-Based Multi-Agent Simulations15 Oct 2025
- 2025SimCity: Multi-Agent Urban Development Simulation with Rich Interactions1 Oct 2025
- 2025Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations19 Sep 2025
- 2025Validating Generative Agent-Based Models for Logistics and Supply Chain Management Research27 Aug 2025
- 2025GasAgent: A Multi-Agent Framework for Automated Gas Optimization in Smart Contracts21 Jul 2025
- 2025Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences11 Jul 2025
- 2025GATSim: Urban Mobility Simulation with Generative Agents29 Jun 2025
- 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations4 Apr 2025
- 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents4 Dec 2024
- 2024Agents' Room: Narrative Generation through Multi-step Collaboration3 Oct 2024
- 2024Large Language Model based Multi-Agents: A Survey of Progress and Challenges21 Jan 2024
- 2024When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settingscited by 17
- 2024Large Language Models in Politics and Democracy: A Comprehensive Surveycited by 5
- 2025The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systemscited by 2
- 2025The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems17 Apr 2025
- 2024Large Language Models in Politics and Democracy: A Comprehensive Survey1 Dec 2024
- 2024When LLMs Play the Telephone Game: Cultural Attractors as Conceptual Tools to Evaluate LLMs in Multi-turn Settings5 Jul 2024
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