---
id: 20260325-T0-14
title: "ProMAS：多智能体系统主动错误预测方法"
title_en: "ProMAS: Proactive Error Forecasting for Multi-Agent Systems"
url: https://ai.daily.yangsir.net/daily/20260325-T0-14
issue_date: 2026-03-25
publish_date: 2026-03-24T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2603.20260
---

# ProMAS：多智能体系统主动错误预测方法

研究人员提出 ProMAS 方法，使用马尔可夫转移动力学预测多智能体系统中的错误。该方法通过分析智能体间的状态转移，提前识别潜在故障点，提高系统稳定性。适用于需要高可靠性的协作任务，如自动驾驶和机器人协作。

## English Version

**ProMAS: Proactive Error Forecasting for Multi-Agent Systems**

Researchers introduced ProMAS, a method using Markov transition dynamics to proactively forecast errors in multi-agent systems. By analyzing state transitions between agents, it identifies potential failure points in advance, improving system stability. Applicable to high-reliability collaborative tasks like autonomous driving and robotics.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2603.20260)

**详情页**：https://ai.daily.yangsir.net/daily/20260325-T0-14

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