mlsanityData to 7 Oct 2026

Emergent Social Dynamics of LLM Agents in the El Farol Bar Problem

arXiv 2509.04537 ↗First posted 4 Sep 2025cs.MA cs.AI cs.CYcited by 7

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

Abstract (arXiv)

We investigate the emergent social dynamics of Large Language Model (LLM) agents in a spatially extended El Farol Bar problem, observing how they autonomously navigate this classic social dilemma. As a result, the LLM agents generated a spontaneous motivation to go to the bar and changed their decision making by becoming a collective. We also observed that the LLM agents did not solve the problem completely, but rather behaved more like humans. These findings reveal a complex interplay between external incentives (prompt-specified constraints such as the 60% threshold) and internal incentives (culturally-encoded social preferences derived from pre-training), demonstrating that LLM agents naturally balance formal game-theoretic rationality with social motivations that characterize human behavior. These findings suggest that a new model of group decision making, which could not be handled in the previous game-theoretic problem setting, can be realized by LLM agents.

Key facts. Cited by 7 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 8 of its 22 references that are in the map. First posted on arXiv 4 Sep 2025.

Builds on

8 of 22 references.

Closest ancestors · 2

Same direction, newest first

  1. 2025AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society12 Feb
  2. 2023Generative Agents: Interactive Simulacra of Human Behavior7 Apr

Other references · 6

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2024GPT-4o System Cardcited by 4,467
  3. 2018UMAP: Uniform Manifold Approximation and Projection for Dimension Reductioncited by 2,841
  4. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  5. 2024Project Sid: Many-agent simulations toward AI civilizationcited by 46
  6. 2025CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulationcited by 28

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 7.

7 papers.

  1. 2026Building Social World Models with Large Language Modelscited by 3
  2. 2026Emergence of Biased Consensus in Multi-Agent LLM Debatescited by 2
  3. 2026Three AI-agents walk into a bar . . . . `Lord of the Flies' tribalism emerges among smart AI-Agentscited by 1
  4. 2026Behavioral Determinants of Deployed AI Agents in Social Networks: A Multi-Factor Study of Personality, Model, and Guardrail Specificationcited by 0
  5. 2026Minimal Local Simulation Foundations for LLM- and VLM-Driven Agents in 2D and 3D Environmentscited by 0
  6. 2026Self-Emergence Agent Architecture:Behavior-Inertia HMM, Reflexive Metacognition,and Social-Contrastive Self-Modelingcited by 0
  7. 2026Shared and structured inputs undermine collective random choice by reasoning AI agentscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents
  2. 2025Will Systems of LLM Agents Cooperate: An Investigation into a Social Dilemma
  3. 2026Collective cooperation without individual fidelity in LLM agents
  4. 2025Understanding LLM Agent Behaviours via Game Theory: Strategy Recognition, Biases and Multi-Agent Dynamics
  5. 2025Evolution of Cooperation in LLM-Agent Societies: A Preliminary Study Using Different Punishment Strategies
  6. 2026Evaluating Collective Behaviour of Hundreds of LLM Agents
  7. 2025Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
  8. 2024Static network structure cannot stabilize cooperation among Large Language Model agents