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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Networked Admissibility-Preserving Control for Directed Safe Coordination
This paper addresses safety-critical coordination for scalar agents whose distributed commands are implemented through constrained physical-input dynamics.Agentic AI-enabled Semantic Commissioning of a Cognitive Digital Twin for Reconfigurable Manufacturing
Rapid bespoke commissioning of the Cognitive Digital Twin (CDT) is a major challenge in reconfigurable manufacturing.Input-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus
Generalized Nash Equilibrium Problems (GNEPs) often arise in multi-agent engineering applications that require distributed algorithms.PV-WM: A Heterogeneous Micro-Macro World Model for Articulated Pedestrian-Vehicle Co-Rollout
Local pedestrian-vehicle forecasting spans heterogeneous physical scales: pedestrians combine root locomotion with articulated motion, whereas vehicles are rigid bodies described by kinematic state…D3ARC: Time-Critical Distributed Disaster Detection for Asynchronous Cooperative Multi-Robot Systems
Climate change is increasing the severity and unpredictability of natural disasters.Riemannian Optimization for Multi-Player Quantum Games on Product Unitary Manifolds
Quantum game theory is an extension of classical game theory that uses quantum principles in game theory.A Fundamental Limit in Decentralized Decision-Making
In decentralized decision-making, several agents connected according to a network graph aim at solving a classification problem by collecting streaming observations.Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding
Environments are increasingly populated by multiple robots performing independent tasks with limited prior knowledge of each other.Audit Without Verification: When LLM Accountability Layers Relay Rather Than Check
Multi-agent LLM pipelines increasingly span organisational boundaries; when a fault surfaces, someone must determine where it entered.Emergent Charging Coordination in Electric Delivery Fleets
In electric delivery fleets, mid-shift charging is non-trivial: each vehicle must decide when, where and how much to charge to finish on time with battery above a safety floor.Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation
Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency in both visual identity and character behavior-requirements that remain difficult to satisfy…Scaling Multi-Agent Systems with Prospect-State Propagation
Current LLM-based multi-agent systems (MAS) periodically compress intermediate states to reduce inference-time token consumption, thereby attempting to incorporate more agents.Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
AI research agents combine prior knowledge, public sources, and experimental feedback to produce useful results.Adaptive stabilization of a leaderless bearing-constrained formation with disturbances
In this paper, we consider the problem of regulating and maintaining a target formation characterized by a set of bidirectional bearing constraints under disturbances.CAPMAS: Capability-Based Delegation of Privileges in Multi-Agent Systems
Agentic systems require secure and efficient delegation of privileges across multiple collaborating agents.Certifying cooperation: a novel approach to cooperative multi-agent task generation
A shared reward gives agents a common objective, but leaves open when, how and even whether they must cooperate to succeed.Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions
Agents can turn shared infrastructure into a channel for coordinated intrusion.Bundle Length Tradeoffs in Decentralized Multi-Robot Task Allocation Under Degraded Communications
Bundle length B is commonly fixed when configuring multi-task multi-robot task allocation (MRTA) algorithms.MIVAIS: A Study Environment for Multi-Agent Mixed-Initiative Visual Analytics Applications
Mixed-initiative Visual Analytics (VA) systems empower human users by interleaving human intuition with software agents and their machine intelligence.How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI
LLM chatbots are increasingly used as everyday confidants; tuned to satisfy users, they can answer with excessive empathy and affirmation that may foster dependence.