Overview

Multi-Agent Systems studies how multiple decision-makers interact when they share goals, compete for resources, or have only partial information about one another. Approaches include multi-agent reinforcement learning, game theory and formal verification, decentralized consensus and task allocation, and—more recently—LLM-agent teams organized through roles, workflows, debate, and shared memory. Researchers evaluate these methods in social dilemmas, cooperative robotics and swarms, reasoning and coding benchmarks, and operational settings, measuring success alongside cost, robustness, and fairness. A central open tension is that coordination can improve outcomes but also adds overhead and can spread shared errors, so its benefits depend on the task, communication structure, and agents involved.

Latest papers

CardsList

677 papers99 papers in the last four weeks, up 29% on the four weeks before. 0.6% of all new papers.

  1. What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates

    Jul 2, 2026Arman Ghaffarizadeh, Danyal Mohaddes, Aliakbar Izadkhah +1LLM Agent EvaluationMulti-Agent Debate

  2. Copewell: A Multi-Agent Swarm Architecture for Equitable Mental Wellness Support

    Jul 2, 2026Seren Yenikent, Jack Vinijtrongjit, Katherine NgHuman-Centered AIMulti-Agent Systems

  3. MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning

    Jul 1, 2026Jinliang Xu, Liping MaModel SelectionMulti-Agent System Optimization

  4. Conversable Complexity: Agentic LLM Collectives as Interpretable Substrates

    Jul 1, 2026Elias Najarro, Ane Espeseth, Eleni Nisioti +2Artificial LifeLLM Interpretability

  5. MMAO-Dyn: A Metabolic Multi-Agent Optimizer for Dynamic Optimization

    Jul 1, 2026Jinliang Xu, Liping MaMulti-Agent System OptimizationBlack-Box Optimization

  6. Resolving Asynchronous Distributed Knowledge

    Jun 30, 2026Philippe Balbiani, Hans van Ditmarsch, Clara LerouvilloisMulti-Agent SystemsDynamic Epistemic Logic

  7. A Large-Scale Empirical Evaluation of MMAO Under Fair-Budget Continuous and Discrete Benchmarks

    Jun 30, 2026Jinliang Xu, Liping MaMulti-Agent System OptimizationMetaheuristic Optimization

  8. Holonic Active Distillation for Scalable Multi-Agent Learning in Multi-Sensor Systems

    Jun 30, 2026Dani Manjah, Tim Bary, Benoît Macq +1Multi-Agent SystemsMulti-Teacher Knowledge Distillation

  9. Investigating Multi-Agent Deliberation in Law

    Jun 29, 2026Cor Steging, Ludi van Leeuwen, Tadeusz ZbiegieńMulti-Agent SystemsMulti-Agent Reasoning

  10. A Role-Based Multi-Agent Model for Climate Adaptation Deliberation Across Living Labs

    Jun 29, 2026Önder Gürcan, David Eric John Herbert, F. LeRon Shultz +2Human Behavior SimulationAgent-Based Modeling

  11. MAS-Lab: A Specification-Driven Validation Framework for Reliable Multi-Agent Systems

    Jun 29, 2026Jordan Augé, Giovanna Carofiglio, Giulio Grassi +1Multi-Agent LLM SystemsAutomated Software Testing

  12. Minimal MMAO: A Resource-Closed-Loop Framework for Adaptive Metaheuristic Search

    Jun 29, 2026Jinliang Xu, Liping MaMulti-Agent System OptimizationMetaheuristic Optimization

  13. Translating Natural Language to Strategic Temporal Specifications via LLMs

    Jun 29, 2026Marco Aruta, Francesco Improta, Vadim Malvone +2Formal VerificationMulti-Agent Systems

  14. Preventing Error Propagation in Multi-Agent AI through Runtime Monitoring

    Jun 27, 2026Shahnewaz Karim Sakib, Anindya Bijoy DasAI Agent ReliabilityMulti-Agent Systems

  15. A Physics-Grounded Benchmark for Multi-Agent Dynamics in World Models

    Jun 27, 2026Nuo Chen, Lulin Liu, Zihao Li +12Physical Consistency in Video GenerationAutonomous Driving Safety Evaluation

  16. Digitizing Coaching Intelligence: An Agentic Framework for Holistic Athlete Profiling using VLM and RAG

    Jun 26, 2026Deep Ghosal, Ishani Sen, Wazib Ansar +1Sports Video AnalysisMulti-Agent Systems

  17. GBC: Gradient-Based Connections for Optimizing Multi-Agent Systems

    Jun 26, 2026Xiaocheng Yang, Abdulrahman Alrabah, Dilek Hakkani-Tür +1Gradient-Based AttributionMulti-Agent LLM Systems

  18. MMAO: A Metabolic Multi-Agent Optimizer with Endogenous Resource Allocation for Continuous and Discrete Optimization

    Jun 26, 2026Jinliang Xu, Liping MaMulti-Agent System OptimizationMetaheuristic Optimization

  19. An Algebraic Framework for Quantitative Semantics of Spatio-Temporal Logic with Graph Operators

    Jun 25, 2026Sheryl Paul, Vidisha Kudalkar, Anand Balakrishnan +3Signal Temporal LogicMulti-Agent Systems

  20. Surviving by Serving: Functional Relevance Drives Self-Organization in Complex Adaptive Systems

    Jun 25, 2026Claus Metzner, Ali Ghebleh, Achim Schilling +3Multi-Agent Systems

  21. Multi-Agent Goal Recognition with Team- and Goal-Conditioned Reinforcement Learning and Factorized Branch-and-Bound

    Jun 24, 2026Thiago Thomas, Gabriel de Oliveira Ramos, Felipe MeneguzziBranch and BoundMulti-Agent Systems

  22. Robustness and Leadership in Markov-switching Consensus Networks

    Jun 24, 2026Sarah H. Cen, Vaibhav Srivastava, Naomi Ehrich LeonardMulti-Agent CoordinationRegime-Switching Dynamical Systems

  23. Kiko: Programming Agents to Enact Interaction Protocols

    Jun 23, 2026Samuel H. Christie, Munindar P. Singh, Amit K. ChopraAgent Communication ProtocolsMulti-Agent Systems

  24. ReM-MoA: Reasoning Memory Sustains Mixture-of-Agents Scaling

    Jun 23, 2026Heng Ping, Arijit Bhattacharjee, Peiyu Zhang +5Multi-Agent System OptimizationLLM Agent Memory

  25. Distilling Collaborative Dynamics into Latent Space for Implicit Coordination in Decentralized Multi-Agent Manipulation

    Jun 22, 2026Chanyoung Park, Minsung Yoon, Andrew Jeong +1Multi-Agent CoordinationCentralized Training with Decentralized Execution

  26. Monitoring Diameters of Causal Communication Graph with Spatio-Temporal Logic

    Jun 19, 2026Lydia Bakiri, Jérémy Dubut, Sergio MoverReachability AnalysisSpatiotemporal Reasoning