---
id: 20260325-T0-19
title: "FactorSmith：通过马尔可夫分解生成智能体模拟"
title_en: "FactorSmith: Agentic Simulation via Markov Decomposition"
url: https://ai.daily.yangsir.net/daily/20260325-T0-19
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/2603.20270
---

# FactorSmith：通过马尔可夫分解生成智能体模拟

研究人员提出 FactorSmith 方法，通过马尔可夫决策过程分解生成智能体模拟。该方法从自然语言规范生成可执行模拟，解决了大模型在处理大型互联代码库时的推理限制，适用于复杂系统的模拟和测试。

## English Version

**FactorSmith: Agentic Simulation via Markov Decomposition**

Researchers introduced FactorSmith, a method that generates agent simulations through Markov Decision Process decomposition. It addresses the reasoning limitations of large language models when processing large, interconnected codebases, enabling simulation and testing of complex systems from natural language specifications.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2603.20270)

**详情页**：https://ai.daily.yangsir.net/daily/20260325-T0-19

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