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Detaylı Bibliyografya
Yazar:	Wei, Xinliang
Materyal Türü:	Recurso digital
Dil:	Mandarin
Baskı/Yayın Bilgisi:	Zenodo 2025
Konular:	Cognitive Science Digital Humanities Interdisciplinary Research Science Communication Artificial Intelligence Education and Learning Knowledge Representation Human–AI Collaboration DTCE Deep Transformative Cognitive Evolution cognitive architecture AI-assisted learning structural thinking knowledge system SER model expression system human-AI co-creation interdisciplinary integration cognitive design self-driven learning AI co-writing bilingual expression future education cognitive evolution
Online Erişim:	https://doi.org/10.5281/zenodo.16790028
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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<p>本白皮书提出 <span><strong>DTCE</strong></span>(Deep Transformative Cognitive Evolution,深度变革性认知进化)作为新一代认知操作系统,旨在打破学科壁垒。通过整合<span><strong>结构映射</strong></span>、<span><strong>主动共振</strong></span>与 <span><strong>AI 辅助的跨领域链接</strong></span>,DTCE 将传统线性知识获取模式转变为<span><strong>动态、网络化与自适应</strong></span>的认知过程。</p> <p>本文对比了 DTCE 与传统认知方式的差异,阐述了其在<span><strong>科研、教育、战略决策与个人知识管理</strong></span>中的应用价值,并展望了其通过与 <span><strong>Rhythm OS、SCLS、SPRL</strong></span> 深度融合的发展方向。长期愿景是建立一个<span><strong>全球协作认知网络</strong></span>,让不同文化、领域与语言背景的人类与 AI 共同编辑、验证、拓展知识结构,形成开放、可持续演化的<span><strong>全球智慧地图</strong></span>。</p>