mlsanityData to 7 Oct 2026

Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering

arXiv 2308.07411 ↗First posted 14 Aug 2023cs.AI cs.MAcited by 17

On the map: LLM agents and tool use → Social simulation and multi-agent debate

Abstract (arXiv)

The final frontier for simulation is the accurate representation of complex, real-world social systems. While agent-based modeling (ABM) seeks to study the behavior and interactions of agents within a larger system, it is unable to faithfully capture the full complexity of human-driven behavior. Large language models (LLMs), like ChatGPT, have emerged as a potential solution to this bottleneck by enabling researchers to explore human-driven interactions in previously unimaginable ways. Our research investigates simulations of human interactions using LLMs. Through prompt engineering, inspired by Park et al. (2023), we present two simulations of believable proxies of human behavior: a two-agent negotiation and a six-agent murder mystery game.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Placed in Social simulation and multi-agent debate, one of 16 directions in LLM agents and tool use. Builds on 10 of its 13 references that are in the map. First posted on arXiv 14 Aug 2023.

Builds on

10 of 13 references.

Closest ancestors · 1

Same direction, newest first

  1. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 9

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Training language models to follow instructions with human feedbackcited by 15,712
  3. 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 12,865
  4. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  5. 2022OPT: Open Pre-trained Transformer Language Modelscited by 3,464
  6. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,383
  7. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  8. 2022Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studiescited by 506
  9. 2019Multi-agent Learning for Neural Machine Translationcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 3; 2025: 8; 2026: 1.

17 papers.

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  1. 2023The Rise and Potential of Large Language Model Based Agents: A Surveycited by 1,422
  2. 2024Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agentscited by 48
  3. 2023Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Educationcited by 38
  4. 2025Reinforce LLM Reasoning through Multi-Agent Reflectioncited by 26
  5. 2023Prompt Engineering Through the Lens of Optimal Controlcited by 16
  6. 2025Multi-Agent Systems Powered by Large Language Models: Applications in Swarm Intelligencecited by 14
  7. 2023Smart Agent-Based Modeling: On the Use of Large Language Models in Computer Simulationscited by 11
  8. 2024Computational Experiments Meet Large Language Model Based Agents: A Survey and Perspectivecited by 11
  9. 2025From the Fluency Fallacy to the Micro-to-Macro Validity Gap: Opportunities and Pitfalls of LLMs in Social Simulationcited by 8
  10. 2024Who Speaks Next? Multi-party AI Discussion Leveraging the Systematics of Turn-taking in Murder Mystery Gamescited by 7
  11. 2023Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Userscited by 6
  12. 2025AI Awarenesscited by 6
5 more
  1. 2025Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?cited by 2
  2. 2025Multi-dimensional Data Analysis and Applications Basing on LLM Agents and Knowledge Graph Interactionscited by 1
  3. 2025Validating Generative Agent-Based Models for Logistics and Supply Chain Management Researchcited by 0
  4. 2025Student Development Agent: Risk-free Simulation for Evaluating AIED Innovationscited by 0
  5. 2026From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computerscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024LLM-Augmented Agent-Based Modelling for Social Simulations: Challenges and Opportunities
  2. 2024Sense and Sensitivity: Evaluating the simulation of social dynamics via Large Language Models
  3. 2025Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations
  4. 2025Exploring Large Language Model Agents for Piloting Social Experiments
  5. 2024Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
  6. 2024From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
  7. 2026Human-Simulation Interaction: From Prediction to Exploration in LLM Agent Simulations for Policy
  8. 2025Grounding Natural Language for Multi-agent Decision-Making with Multi-agentic LLMs