<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>认知科学 on C.CUI's Log</title><link>https://cuicaihao.github.io/zh/tags/%E8%AE%A4%E7%9F%A5%E7%A7%91%E5%AD%A6/</link><description>Recent content in 认知科学 on C.CUI's Log</description><generator>Hugo</generator><language>zh</language><lastBuildDate>Wed, 20 May 2026 07:00:00 +1000</lastBuildDate><atom:link href="https://cuicaihao.github.io/zh/tags/%E8%AE%A4%E7%9F%A5%E7%A7%91%E5%AD%A6/index.xml" rel="self" type="application/rss+xml"/><item><title>拥抱与桥接：打破“惰性知识”的魔咒</title><link>https://cuicaihao.github.io/zh/posts/2026-05-20-knowledge-transfer-hugging-bridging/</link><pubDate>Wed, 20 May 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-05-20-knowledge-transfer-hugging-bridging/</guid><description>为什么大量的读书人都读成了废物？本讲探讨“惰性知识”概念，并介绍珀金斯和所罗门的“拥抱”与“桥接”策略，揭示如何实现真正的知识迁移，并以苏东坡为例展示学以致用的极致境界。</description></item><item><title>ICAP 框架： 最高效的学习方法</title><link>https://cuicaihao.github.io/zh/posts/2026-05-08-icap-framework-most-efficient-learning-method/</link><pubDate>Fri, 08 May 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-05-08-icap-framework-most-efficient-learning-method/</guid><description>深入解析认知科学中的 ICAP 框架（互动、建构、主动、被动），探讨如何通过提升认知参与度来实现最高效的学习。</description></item><item><title>OODA 环：不是反应快，而是换脑快</title><link>https://cuicaihao.github.io/zh/posts/2026-05-06-ooda-loop-not-reaction-speed-but-mindset-update/</link><pubDate>Wed, 06 May 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-05-06-ooda-loop-not-reaction-speed-but-mindset-update/</guid><description>深度解析 OODA 环（观察-定向-决策-行动），揭示其核心价值不在于简单的反应速度，而在于“定向”环节对认知地图的高频刷新。</description></item><item><title>参考类：当局者迷，旁观者清，你不特殊</title><link>https://cuicaihao.github.io/zh/posts/2026-05-04-reference-class-you-are-not-special/</link><pubDate>Mon, 04 May 2026 07:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-05-04-reference-class-you-are-not-special/</guid><description>本文介绍了参考类预测（RCF），这是一种通过将项目视为统计样本而非独特故事来克服规划谬误和“内部视角”的认知工具。</description></item><item><title>信息价值：如何区分沙子和金子</title><link>https://cuicaihao.github.io/zh/posts/2026-04-21-information-value-distinguish-sand-gold/</link><pubDate>Tue, 21 Apr 2026 10:00:00 +1000</pubDate><guid>https://cuicaihao.github.io/zh/posts/2026-04-21-information-value-distinguish-sand-gold/</guid><description>探讨决策科学中的“信息价值（VOI）”理论，解释如何区分能改变决策的高价值信息与仅提供情绪满足的低价值“沙子”。</description></item></channel></rss>