cs.MA · 2026-08-01 · No. 71

Multiagent Systems, 2026-08-01.

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

    VISA: A Structured Description Protocol for Agent-Based Simulation Models Towards Machine Reproducibility

    Zhou He

    cs.MA · cs.AI · cs.CE

    Agent-based models (ABMs) are difficult to reproduce: their behavior is spread across prose narratives, platform-specific code, and implicit assumptions, so that two readers routinely reconstruct different models from the same documentation. We present VISA, a structured, symbol-based description protocol that specifies a model in eight interconnected tables---four at the agent level (Agent, Variable, Sensing, Internal Function) and four at...

    arxiv.org/abs/2607.28027 · PDF

  2. 02

    $Σ$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems

    Peilin Feng, Suorong Yang, Soujanya Poria

    cs.MA · cs.AI

    Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limitation is particularly important in multi-agent systems, where a central model may be unable to directly verify plausible or correlated peer responses. We introduce $Σ$-Mem, an online reliability memory that records historical competence evidence...

    arxiv.org/abs/2607.27958 · PDF

  3. 03

    Argonaut: Interactive Visual Exploration for Distributed Optimization

    Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras

    cs.MA · cs.DC

    Distributed discrete-choice optimization in decentralized settings is often hard to explore and navigate: disentangling what other agents choose, how their choices are interdependent, and how they collectively reach a global objective quickly becomes intractable as the system scales. The major limitation is observability of the search process. Existing methods are largely centralized and offer limited support, visualizing only the final...

    arxiv.org/abs/2607.27946 · PDF

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