cs.MA · 2026-05-23 · No. 8

Multiagent Systems, 2026-05-23.

3 new papers in cs.MA. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    A Generalized Nash Equilibrium-Seeking Scheme for Trauma Resuscitation

    Promise Ekpo, Angelique Taylor, Lekan Molu

    cs.MA · cs.DC · cs.GT · eess.SY

    Trauma resuscitation is a clinical process for treating life-threatening physiological disorders in safety-critical environments, driven by the experience of healthcare workers (HCWs). Designing and optimizing quantifiable metrics that accurately capture HCW decisions may augment current resuscitation procedures with the potential to improve patient outcomes. This motivates our socio-technical formulation of trauma resuscitation as a...

    arxiv.org/abs/2605.22661 · PDF

  2. 02

    Sibyl-AutoResearch: Autonomous Research Needs Self-Evolving Trial-and-Error Harnesses, Not Paper Generators

    Chengcheng Wang, Qinhua Xie, Wei He, Jianyuan Guo, Shiqi Wang, Chang Xu

    cs.MA · cs.AI · cs.SE

    Autonomous research systems increasingly make the scientific workflow executable: agents can propose ideas, run code, inspect results, and draft papers. But executable workflows do not by themselves produce research judgment. We analyze where current systems lose trial experience: weak evidence becomes prose, pilot signals become broad claims, memory remains textual, and recurring process failures do not change later behavior. We introduce...

    arxiv.org/abs/2605.22343 · PDF

  3. 03

    ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps

    Cezary Adamczyk, Adrian Kliks

    cs.MA · cs.AI

    Conflict Mitigation (ConMit) is a crucial part of intelligent network control in Open Radio Access Networks (O-RAN). In this paper, we propose a method named ACCoRD to resolve detected control conflicts in Near-Real Time RAN Intelligent Controller using a Conflict Resolution (CR) Agent with an Artificial Neural Network (ANN) trained with a reinforcement learning algorithm PPO-Clip. The implemented ANN analyzes data about the network and...

    arxiv.org/abs/2605.22306 · PDF

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