---
id: 20260415-T0-08
title: "OOWM研究：面向具身任务的程序化世界建模"
title_en: "OOWM: Programmatic World Modeling for AI"
url: https://ai.daily.yangsir.net/daily/20260415-T0-08
issue_date: 2026-04-15
publish_date: 2026-04-14T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.09580
---

# OOWM研究：面向具身任务的程序化世界建模

斯坦福团队发布OOWM方法，通过面向对象编程结构提升AI的具身推理能力。传统链式思考（CoT）在复杂任务中表现不足，该方法将世界建模转化为可执行程序。实验显示，在导航任务中准确率提升25%，为AI体提供了新范式。

## English Version

**OOWM: Programmatic World Modeling for AI**

Stanford's OOWM method structures embodied reasoning via object-oriented programming, outperforming traditional CoT in navigation tasks with 25% accuracy improvement. It transforms world modeling into executable programs.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.09580)

**详情页**：https://ai.daily.yangsir.net/daily/20260415-T0-08

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