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---
title: "Richard Feynman"
type: entity
tags: [physics, learning, nobel-laureate]
sources: [zk-steward]
last_updated: 2026-05-30
---
## Aliases
- Feynman
- Richard P. Feynman
## Overview
Richard Feynman19181988是美国理论物理学家、诺贝尔物理学奖得主1965以量子电动力学QED贡献闻名同时也是极具影响力的科学传播者。他的学习方法论——"first principles, teach to learn"——深刻影响了知识管理和 AI prompting 领域。
## Core Method
- **First Principles Thinking**:从最基本的公理出发推导结论,不依赖类比或既有框架
- **Teach to Learn**如果你不能向一个初学者解释清楚某件事你其实并不理解它Feynman Technique
- **Curiosity-Driven**:对任何问题都保持"what do you really mean by that?"的追问习惯
## Role in ZK Steward
ZK Steward 在"学习 / 研究"任务中切换到 Feynman 视角,驱动 deep-learning 流程中的 Feynman 测试(能否用一句话向初学者解释清楚)。
## Key Connections
- [[ZK-Steward-Agent]] ← uses Feynman perspective for learning/research tasks
- [[Domain-Thinking]] ← Feynman is the reference expert for learning/research domain
- [[Luhmann-四原则]] ← Feynman Technique 与"可独立理解"原则高度共鸣