Distributed Agent System: 面向容错协作的异构智能体框架
Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents
这篇论文提出了一个实用的容错框架DAS，专为工业场景下的异构智能体协作设计，解决了累积错误传播的老大难问题。
本文提出分布式智能体系统DAS，一种设备-边缘-云三层架构，用于异构智能体间的容错协作。系统定义智能体可靠性为系统级容错，而非单轮零错误准确率。
架构包含两层：通过容错对齐实现单智能体执行可靠性，以及通过半形式化语言协议实现跨智能体通信可靠性。该框架为工业场景下异构具身智能体的可靠协作提供了工程路径。
Distributed Agent System: Fault-Tolerant Collaboration Among Embodied Agents
AI engineering is shifting from passive text generation by large language models (LLMs) to agent-driven task execution, creating new reliability challenges for long-horizon tasks under resource constraints and environmental uncertainty. Conventional error-elimination optimization strategies fail to address cumulative error propagation. This paper proposes Distributed Agent System (DAS), a device-edge-cloud framework for fault-tolerant collaboration among heterogeneous agents. We redefine agent reliability as system-level fault tolerance rather than single-turn zero-error accuracy, and present a two-layer fault-tolerance architecture: single-agent execution reliability via fault-tolerant alignment, and cross-agent communication reliability via semi-formal language protocols. This framework provides a practical engineering pathway for reliable heterogeneous embodied agents collaboration in industrial scenarios.
This report is categorized under AITOP's "Papers" desk. Key entities and technical topics under continuous tracking include 智能体, 分布式系统, 容错, 具身智能.
Source attribution: curated from arXiv cs.AI (@Kai Yu, Lu Chen, Hanqi Li).
