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English(EN) From State Synchronization to Cognitive Self-Evolution: An Operational Architecture for Cognitive Digital Twins

提出认知数字孪生新架构，具备自演化能力

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员提出了一种新颖的四层认知数字孪生（CDT）架构，该架构超越了简单的状态同步，实现了知识驱动的操作。该架构将认知能力（包括知识图谱和大型语言模型）整合到物理层、数字孪生层、认知层和任务层。该系统建立了一个自演化的闭环，其中物理状态为数字表示提供信息，认知构建特定任务的模型，并在约束条件下做出决策，反馈则用于改进认知体验并更新数字表示。 AI

影响 该框架通过整合先进的认知功能，有望实现更复杂、更具适应性的数字孪生系统。

排序理由 该集群描述了一篇提出认知数字孪生新架构的研究论文。

在 Hugging Face Daily Papers 阅读 →

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提出认知数字孪生新架构，具备自演化能力

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Haoran Gao, An Li, Zhen Li, Jun Cai ·

    从状态同步到认知自演化：认知数字孪生的操作架构

    arXiv:2609.09625v1 Announce Type: new Abstract: As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities into twin ope…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    从状态同步到认知自演化：认知数字孪生的操作架构

    As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities into twin operation. Existing CDT studies often focus on spec…

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