Overview

Multi-agent consensus studies how autonomous systems influence one another to agree on beliefs, decisions, estimates, or coordinated actions. Methods range from graph-based consensus protocols and distributed control to voting, debate, confidence weighting, evidence checking, and adaptive communication. Applications include robot teams, distributed sensing, and groups of language models that deliberate or verify answers. A central tension is that agreement can speed coordination but does not guarantee correctness: shared errors, conformity, adversarial agents, and network structure can all make consensus unreliable.

Latest papers

CardsList

126 papers20 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization

    May 1, 2026Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen +1Multi-Agent System OptimizationMulti-Agent Coordination

  2. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent Systems

    Apr 21, 2026Jiale Liu, Victor S. Bursztyn, Lin Ai +4Multi-Agent CoordinationMulti-Agent Collaboration

  3. The Consensus Trap: Rescuing Multi-Agent LLMs from Adversarial Majorities via Token-Level Collaboration

    Apr 18, 2026Jiayuan Liu, Shiyi Du, Weihua Du +2Multi-Agent LLM SystemsAdversarial Robustness

  4. Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus

    Apr 15, 2026Zijian Zhao, Jing Gao, Sen LiCooperative MARLMulti-Agent Reinforcement Learning

  5. From Debate to Decision: Conformal Social Choice for Safe Multi-Agent Deliberation

    Apr 9, 2026Mengdie Flora Wang, Haochen Xie, Guanghui Wang +9LLM Agent SafetySelective Prediction

  6. Event-Triggered Adaptive Consensus for Multi-Robot Task Allocation

    Apr 8, 2026Fidel Aznar, Mar Pujol, Álvaro DíezMulti-Robot Task AllocationSwarm Robotics

  7. DejaVu: A Minimalistic Mechanism for Distributed Plurality Consensus

    Apr 4, 2026Francesco d'Amore, Niccolò D'Archivio, George Giakkoupis +2Multi-Agent Consensus

  8. HCP-MAD:Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate

    Apr 3, 2026Yiqing Liu, Hantao Yao, Wu Liu +2Multi-Agent DebateMulti-Agent Reasoning

  9. GRASP: Gradient Realignment via Active Shared Perception for Multi-Agent Collaborative Optimization

    Apr 1, 2026Sihan Zhou, Tiantian He, Yifan Lu +2Cooperative MARLNon-Stationary RL

  10. One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction

    Mar 31, 2026Yuxing Lu, Yushuhong Lin, Jason ZhangMulti-Agent CollaborationClinical Prediction

  11. When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs

    Mar 25, 2026Hidenori TanakaMulti-Agent SystemsMulti-Agent Consensus

  12. MIND: Multi-agent inference for negotiation dialogue in travel planning

    Mar 23, 2026Hunmin Do, Taejun Yoon, Kiyong JungTravel PlanningMulti-Agent Negotiation

  13. Non-trivial consensus on directed signed matrix-weighted networks with compound measurement noises and time-varying topologies

    Mar 14, 2026Tianmu Niu, Xiaoqun WuMulti-Agent Consensus

  14. Distributed Kalman--Consensus Filtering with Adaptive Uncertainty Weighting for Multi-Object Tracking in Mobile Robot Networks

    Mar 11, 2026Niusha Khosravi, Rodrigo Ventura, Meysam BasiriMulti-Object TrackingMulti-Robot Systems

  15. Emotional Modulation in Swarm Decision Dynamics

    Mar 10, 2026David Freire-ObregónMulti-Agent ConsensusMulti-Agent Systems

  16. Breaking the Martingale Curse: Multi-Agent Debate via Asymmetric Cognitive Potential Energy

    Mar 6, 2026Yuhan Liu, Juntian Zhang, Yichen Wu +4Multi-Agent DebateMulti-Agent Consensus

  17. Wisdom of the AI Crowd (AI-CROWD) for Ground Truth Approximation in Content Analysis: A Research Protocol & Validation Using Eleven Large Language Models

    Mar 6, 2026Luis de-Marcos, Manuel Goyanes, Adrián Domínguez-DíazLLM-Assisted AnnotationLanguage Model Ensembles

  18. From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration

    Mar 4, 2026Yizhe Xie, Congcong Zhu, Xinyue Zhang +5Multi-Agent LLM SystemsMulti-Agent Systems

  19. Can AI Agents Agree?

    Mar 1, 2026Frédéric Berdoz, Leonardo Rugli, Roger WattenhoferMulti-Agent ConsensusLLM Agent Reliability

  20. Decentralized Ranking Aggregation via Gossip: Convergence and Robustness

    Feb 26, 2026Kerrian Le Caillec, Anna Van Elst, Igor Colin +1Rank AggregationMulti-Agent Consensus