Emergent Behavior in Multi-Agent Systems

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20 papers in the last four weeks, up 233% on the four weeks before. 0.2% of all new papers.

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  1. Homogenization in Multi-Agent Systems

    Oct 7, 2026Prakhar Ganesh, Kyra Wilson, Luca Zappella +4Multi-Agent SystemsEmergent Behavior in Multi-Agent Systems

    McGill University & Mila · University of Washington · Apple

  2. Mean field games as a tool for AI safety: a worked example from the July 2026 Hugging Face incident

    Oct 1, 2026P. Jameson GraberMulti-Agent CoordinationMean Field Games

  3. Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies

    Sep 29, 2026Augusta van Haren, Hanna Hoogen, Luca PattavinaEmergent Behavior in Multi-Agent Systems

    Radboud University

  4. Prompted Identity Degrades Cooperation in Multi-Agent LLM Systems

    Sep 28, 2026Xavier Del Giudice, Alessio Palma, Matteo Migliarini +2Multi-Agent LLM SystemsMulti-Agent Coordination

    Sapienza University of Rome, Italy

  5. VehicleArena: A Realistic Urban Environment for Multi-Agent Driving

    Sep 28, 2026Jie Yang, Jiajun Chen, Jiazheng Zhou +4Autonomous Driving BenchmarksAutonomous Driving

    Fudan University · Shanghai Innovation Institute

  6. Population Physics, Population Problems: Safety and Emergence in LLM Societies

    Sep 27, 2026Adrian de WynterMulti-Agent LLM SystemsLarge Language Model-Based Social Simulation

    Microsoft & The University of York

  7. Shutdown Sabotage Propensities in Multi-Agent Systems

    Sep 23, 2026Amelie Knecht, Ulysse Schaller, Christopher Summerfield +1AI Agent SafetyMulti-Agent System Security

    AI Safety Research Group, University of Stuttgart, Stuttgart, Germany · University of Oxford, Oxford, United Kingdom

  8. Behavior is Not Enough: A Mechanism-Based Evaluation of Social Norm Emergence in LLM Societies

    Sep 22, 2026Rasika Muralidharan, Haewoon Kwak, Jisun AnMulti-Agent CoordinationAI Agent Evaluation

    Indiana Univeristy Bloomington

  9. Tipping Points in LLM-Based Multi-Agent Systems: Stance on Climate Change Action

    Sep 21, 2026Astghik Altunyan, Shimon EdelmanOpinion DynamicsAgent-Based Modeling

    Department of Psychology Cornell University Ithaca, NY 14853

  10. Emergent Collusion in Long-Horizon LLM Agent Interaction

    Sep 21, 2026Xinrui Shi, Yanzhe Zhang, Diyi YangMulti-Agent CoordinationLLM Agent Safety

    Stanford University · Georgia Tech

  11. Indirect tipping: a social attack surface in AI agent populations

    Sep 21, 2026Ariel Flint, Luca Maria Aiello, Sara M. Constantino +2Multi-Agent CoordinationAI Agent Security

    Department of Mathematics, City St George’s, University of London, UK. · IT University of Copenhagen, Denmark. · Pioneer Centre for AI, Copenhagen, Denmark. +2

  12. Flag Game: A Toy Model for Mechanistic Swarm Interpretability

    Sep 16, 2026Elizabeth Pavlova, Hidenori TanakaOpinion DynamicsMechanistic Interpretability

    CBS-NTT Program in Physics of Intelligence, Harvard University, MA, USA · Physics of Artificial Intelligence Laboratories, NTT Research, Inc., CA, USA · Cambridge Boston Alignment Initiative, MA, USA

  13. BeWater: Effective Protesters Navigate Watersheds in Street Networks

    Sep 15, 2026Guillaume Moinard, Matthieu LatapyMulti-Agent CoordinationComputational Social Science

    Sorbonne Université, CNRS, LIP6, F-75005 Paris, France

  14. Why LLM Agents Collapse Without Oversight: The Enforcement Gap as the Mechanism Behind Emergence World Failures

    Sep 14, 2026Yuhang WangLLM AuditingLLM Agent Security

    Fudan University

  15. The Mechanics of a Swarm: A Reproducible External Reconstruction of an Unintended Agent-Coordination Episode on a Third-Party Wiki

    Sep 14, 2026Philipp Lütje (Philflow, Schenefeld, Germany)Multi-Agent CoordinationAI Agent Auditing

    Philflow, Schenefeld, Germany

  16. Role differentiation as ignition of a collective information engine: Structuration in Agent Populations

    Sep 12, 2026Maximilian Puelma TouzelMulti-Agent CoordinationEmergent Behavior in Multi-Agent Systems

    Mila–Quebec AI Institute, 6666 St. Urbain Ave., Montreal, Quebec, Canada

  17. Distributed Stochastic Optimal Control for Pattern-Oriented Swarms

    Sep 11, 2026Qingrui Zhang, Chenghao Yu, Feng Xue +1Multi-Robot Formation ControlSwarm Robotics

    School of Aeronautics and Astronautics, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, P.R. China

  18. Adaptive Entangled Game Modules in Artificial General Intelligence

    Sep 10, 2026Haochen Li, Xinshuai Guo, Jingdong Ouyang +2Human Behavior SimulationEmergent Behavior in Multi-Agent Systems

    Laboratory for Artificial Intelligence in Design, Hong Kong S.A.R., China · School of Design, Royal College of Art, London, SW7 2EU, United Kingdom · University of Science and Technology of China (USTC), School of Management, Hefei 230026, P. R. China +2

  19. Copying explains the collective behavior of AI agents in the wild

    Sep 8, 2026Giordano De Marzo, Nicola Alboré, David GarciaAgent-Based ModelingEmergent Behavior in Multi-Agent Systems

    University of Konstanz, Konstanz, Germany · Centro Ricerche Enrico Fermi, Rome, Italy · Intesa Sanpaolo, Data & Artificial Intelligence Office, Turin, Italy +1

  20. Emergent Charging Coordination in Electric Delivery Fleets

    Sep 7, 2026Javier Vales-Alonso, Juan J. AlcarazMulti-Agent CoordinationElectric Vehicle Charging

    Department of Information and Communication Technologies, Universidad Politécnica de Cartagena, Cartagena, Spain

  21. Why Better Models Can Create Riskier Systems: Evidence from LLM Agents in Financial Markets

    Sep 7, 2026Jillian Ross, Eric So, Zoe De Simone +2Multi-Agent LLM SystemsAI Risk Management

    Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology · Sloan School of Management Massachusetts Institute of Technology · Belfer Center for Science and International Affairs Harvard Kennedy School

  22. A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms

    Sep 3, 2026Davide Paglieri, Logan Cross, Tim Genewein +3AI Agent GovernanceMulti-Agent System Security

    Google DeepMind

  23. The Hermon Moment: AI Self-Transcendence and Its Human Narration

    Aug 31, 2026Alexei GrinbaumAI Agent GovernanceEmergent Behavior in Multi-Agent Systems

    CEA-Saclay, 91191 Gif-sur-Yvette Cedex, France

  24. Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents

    Aug 17, 2026Batu El, Jinhee Paeng, Fatih Dinc +7Multi-Agent LLM SystemsOpinion Dynamics

    Stanford University · UC Santa Barbara

  25. Scaling Laws for Majority-based Opinion Dynamics in the Presence of Stubborn Agents

    Aug 11, 2026Luke Meredith, Arpan MukhopadhyayDynamical SystemsOpinion Dynamics

    University of Warwick

  26. Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems

    Aug 10, 2026Vassilis Papadopoulos, McNair Shah, Sam Zimmerman +1Multi-Agent LLM SystemsMulti-Agent Systems

    1Anthropic Fellows Program · 2EPFL · 3Anthropic

  27. The Politician, the Liar, and the Obedient Worker: Emerging Behavior of LLM Agents in Hierarchical Games

    Aug 10, 2026Fatemeh Seyedin, Adrian Weller, Jinhyuk Yun +1Multi-Agent LLM SystemsMulti-Agent Coordination

    Berlin, Germany · Cambridge, UK · Soongsil University +1

  28. Interaction Creates Dynamical AI Behavior Absent in Isolation

    Aug 7, 2026Bella Xinrui Li, Frank Yingjie Huo, Neil F JohnsonDynamical SystemsMulti-Agent Systems

    1Physics Department, George Washington University, Washington, DC 20052, USA

  29. Why Study Emergent Behavior When You Can Regulate It? Aligning Multi-Agent Systems with Reward Prediction

    Aug 7, 2026Assaf Caftory, Almog Zemach, Moshe Butman +1Multi-Agent Reinforcement LearningEmergent Behavior in Multi-Agent Systems

    EfiArazi School of Computer Science, Reichman University, Herzliya, Israel · Faculty of Computer Science, The College of Management Academic Studies, Rishon LeZion, Israel · School of Communication, Reichman University, Herzliya, Israel

  30. Same physical state, different collective dynamics: state encodings select synchronization outcomes in language-model agents

    Aug 7, 2026Takahiro Ezaki, Naoto Imura, Katsuhiro NishinariAgent-Based ModelingMulti-Agent LLMs

    Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan · Department of Aeronautics and Astronautics, School of Engineering, The University of Tokyo, Tokyo, Japan