English(EN) Neuro-Symbolic Participation Governance for Verifiable AI Agents in Open Digital Twin Ecosystems

新框架增强数字孪生中人工智能代理的可验证性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-02 02:30

研究人员引入了一个新颖的神经符号去中心化治理框架，旨在增强数字孪生生态系统中人工智能代理的可验证性。该框架集成了概率神经推理和确定性制度治理，利用多层语义配置文件和形式化领域本体来确保代理遵守策略并维持值得信赖的人机协作。通过基于区块链的智能合约验证组织机构颁发的凭证，从而实现可审计的参与，而不会泄露敏感数据。一个原型演示了该系统在防止未经授权的交互和跨诊所、数字孪生和可穿戴设备提供商代理执行策略方面的有效性。 AI

影响该框架有望在复杂的多机构数字孪生环境中实现更值得信赖和安全的人机协作。

排序理由该集群包含一篇关于新人工智能代理框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇关于新人工智能代理框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: 66 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Yan Bai · 2026-08-02 02:30

面向开放数字孪生生态系统中可验证人工智能代理的神经符号参与治理

Autonomous AI agents, increasingly empowered by large language models, are becoming important components of human-machine systems for high-stakes decision support in digital twin ecosystems. However, existing multi-agent systems often lack robust verification for identity, capabi…

本文如何被排名

报道来源 [1]

面向开放数字孪生生态系统中可验证人工智能代理的神经符号参与治理

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