AI & Machine Learning · Computer Science & AI
Multiagent Systems
The newest papers in Multiagent Systems that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
829 papers, from 4 September 2026 to 5 November 2026: 829 arXiv preprints.
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Newest papers, page 37
Reputation as Community Memory for the Agentic Web
Agents can now externalize experience into memory, consolidating historical traces into semantic knowledge and procedural shortcuts that persist between sessions.BirdsongChat: A Hybrid Multi-Agent Framework for Multimodal Embodied Behavior Simulation
Multimodal embodied systems require translating human intentions into interpretable and coordinated behaviors across heterogeneous modalities.Proxifield: Decentralized Multi-Agent Communication through Semantic Proximity
As LLM capabilities have expanded, multi-agent communication has emerged as an increasingly active area of research.Skill-based Agentic Evaluation for Real-time Data Science Tasks
We present a framework for evaluating data-science agents on live, continuously updated data using executable ground truth and format-agnostic factoid scoring.Anchored Sequential Deliberation
Sequential deliberation is a mechanism for collective decision making: at each round, a uniformly randomly selected pair is asked to revise a collective outcome, which then becomes the reference…Multi-Agent Learning with Cooperation-Driven Optimization Dynamics
Multilayer Artificial Neural Networks trained via backpropagation are the basic blocks of many, more complex, classification algorithms.ToMAS: A Pilot Failure-Grounded Theory-of-Mind Benchmark from Multi-Agent LLM Failures
LLM-based multi-agent systems can fail even when communication succeeds because agents do not correctly track their peers' roles, knowledge, or intentions.PaperDoctor: Evidence-Grounded and Actionable Feedback for Scientific Papers in Progress
Autoresearch agents are reshaping the research ecosystem, but they can also let flawed claims enter the literature at scale.BeWater: Effective Protesters Navigate Watersheds in Street Networks
During social movements, protesters need to gather with limited communication means and limited knowledge other than what they observe in their direct surroundings.Intervention problems in the Linear Threshold Model: A general formulation and new results
We study an optimal intervention problem for linear threshold models.Calibrate Once, Fly Any Team: Residual-Grounded Low-Fidelity Training for Cooperative Drone Swarms
Training multi-agent drone-swarm policies directly in high-fidelity (HF) rigid-body physics is accurate but computationally expensive.Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent Systems
Multi-agent Systems (MAS) combine multiple model outputs to solve complex reasoning tasks.Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems
As AI agents move from bounded tasks to persistent deployments, failures can propagate through memory, tools, other agents, and environmental state long after their interactions.Exact Fusion and Coordinated Exploration in Multi-Robot Active Inference
Robot teams that learn a common environment model exchange belief summaries and plan by the expected information gain of their actions.Decomposition Buys Integrity, Not Yield
Multi-agent systems split a task across a tree of agents and justify the split with folklore: smaller contexts, cleaner separation, parallelism.Agentic Societies Need a Social Harness
An agentic society is a collection of AI agents that coordinate autonomously across trust boundaries, on behalf of different principals whose objectives may only partially align.Set-membership localization of intermittent RF sources using a fleet of collaborating UAVs
This paper proposes a set-membership approach (SMA) to localize radio frequency (RF) sources observed by a collaborating fleet of Unmanned Aerial Vehicles (UAVs).Investigating Adversarial Robustness of Heterogeneous Cooperative Perception
Heterogeneous cooperative perception (CP) enables connected vehicles with diverse sensor setups to share spatial awareness via compact feature maps, where receivers reconcile these maps using…ERPBench: A State-Grounded Evaluation Paradigm for Computer-Use Agents in Enterprise Software
Computer-use agents that operate through screenshots and simulated actions are advancing rapidly, yet their evaluation remains anchored to general desktop and web tasks.Message capacity and claim wording set the transition points of collective truth-finding in language-model networks
Whether human or large language model (LLM), an agent in a discussion reads only a few of the others' contributions, bounded by cognition, context, or cost.