去中心化多智能体系统与信任感知通信
Decentralized Multi-Agent System with Trust-Aware Communication
AI总结：
本文提出了一种基于区块链的去中心化多智能体系统，通过信任感知通信协议解决传统集中式系统中的信任、可扩展性和抗审查问题。
摘要：
大语言模型（LLMs）的出现正在加速自主多智能体系统（MAS）的发展，为代理互联网铺平了道路。然而，传统集中式MAS架构存在显著挑战，包括单点故障、易受审查、固有可扩展性限制以及关键信任问题。我们提出了一种新的去中心化多智能体系统（DMAS）架构，旨在通过在自主代理之间实现信任感知、可扩展和抗审查的交互来克服这些问题。我们的DMAS特征是基于区块链架构的去中心化智能体运行时。我们正式化了一个信任感知通信协议，利用密码学原语和链上操作来提供安全属性：可验证的交互周期、通信完整性、真实性、不可否认性和有条件保密性，我们通过全面的安全分析进一步证实了这一点。我们的性能分析验证了DMAS作为构建可信多智能体系统的可扩展且高效的解决方案。
英文摘要：
The emergence of Large Language Models (LLMs) is rapidly accelerating the development of autonomous multi-agent systems (MAS), paving the way for the Internet of Agents. However, traditional centralized MAS architectures present significant challenges, including single points of failure, vulnerability to censorship, inherent scalability limitations, and critical trust issues. We propose a novel Decentralized Multi-Agent System (DMAS) architecture designed to overcome these fundamental problems by enabling trust-aware, scalable, and censorship-resistant interactions among autonomous agents. Our DMAS features a decentralized agent runtime underpinned by a blockchain-based architecture. We formalize a trust-aware communication protocol that leverages cryptographic primitives and on-chain operations to provide security properties: verifiable interaction cycles, communication integrity, authenticity, non-repudiation, and conditional confidentiality, which we further substantiate through a comprehensive security analysis. Our performance analysis validates the DMAS as a scalable and efficient solution for building trustworthy multi-agent systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
