cs.MA · 2026-09-03 · No. 104

Multiagent Systems, 2026-09-03.

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

01 — The papers

2 entries
  1. 01

    Competitive Market Behavior of LLMs

    Pawel Struski, Jakub Swistak, Inez Okulska, Przemyslaw Biecek

    cs.MA · cs.AI · econ.GN

    Large language models (LLMs) are increasingly deployed as economic agents, yet there is little evidence whether LLM agents are suited for participating in market mechanisms designed for humans, and whether these mechanisms deliver desired outcomes when faced with LLM agents. We address this question by replicating seminal economic experiments, replacing human subjects with LLM agents. We place agents in a double auction environment, which is...

    arxiv.org/abs/2609.02580 · PDF

  2. 02

    RideSkill: A Hierarchical Algorithm for Generalized Ride Sharing with LLM-Driven Automatic Evolution

    Zijian Zhao, Sen Li, Xialiang Tong, Mingxuan Yuan

    cs.MA · cs.CL · cs.ET · cs.LG

    Ride-sharing, which allows multiple passengers with different origin-destination (OD) pairs to share a single vehicle, is a challenging operational problem, as it requires orders with different OD pairs to be efficiently bundled and assigned to vehicles under uncertain and varying scenarios. Although multi-agent reinforcement learning (MARL) solutions have achieved promising performance, they suffer from limited generalization (adapting to...

    arxiv.org/abs/2609.02250 · PDF

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