---
id: 20260501-T0-04
title: "AGEL-Comp解决智能体组合泛化问题"
title_en: "AGEL-Comp Fixes Agent Compositional Generalization"
url: https://ai.daily.yangsir.net/daily/20260501-T0-04
issue_date: 2026-05-01
publish_date: 2026-04-30T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2604.26522
---

# AGEL-Comp解决智能体组合泛化问题

研究表明，基于大型语言模型的智能体在组合泛化方面存在系统性缺陷。AGEL-Comp是一种神经符号AI智能体架构，通过结合符号推理与神经网络能力，解决了智能体在交互环境中的泛化难题。该架构显著提升了智能体处理复杂任务的能力。

## English Version

**AGEL-Comp Fixes Agent Compositional Generalization**

Research reveals LLM-based agents fail at compositional generalization. AGEL-Comp, a neuro-symbolic architecture, combines symbolic reasoning with neural networks to address this limitation, significantly improving agent performance in complex interactive tasks.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2604.26522)

**详情页**：https://ai.daily.yangsir.net/daily/20260501-T0-04

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