32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
---
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title: "Symbolic Back-Propagation (符号反向传播)"
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created: 2026-05-29
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updated: 2026-05-29
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type: concept
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tags: ["agent", "backpropagation", "symbolic"]
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sources: ["https://arxiv.org/abs/2406.18532"]
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---
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# Symbolic Back-Propagation (符号反向传播)
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**Symbolic Back-Propagation** 是 [[agent-symbolic-learning|Agent Symbolic Learning]] 的梯度传播机制：将 [[language-loss|Language Loss]] 从 [[symbolic-network|Agent Pipeline]] 末节点**向前逐节点传播**，为每个节点生成 [[language-gradient|Language Gradient]]。
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## 过程
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```
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Forward 轨迹: Node1 → Node2 → ... → NodeN → Output
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Backward: Language Loss(NodeN) → LG(NodeN) → LG(Node_{N-1}) → ... → LG(Node1)
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```
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每个节点的 Language Gradient 基于下游梯度 + 本节点的操作 + 全局因果分析。
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## 核心优势：Holistic
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与 DSPy 等分别优化单个 prompt 的方法不同，Symbolic BP **同时传播到所有节点**，考虑 pipeline 级联效应，避免局部最优。
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## 相关
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- [[agent-symbolic-learning]] — 整体框架
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- [[language-gradient]] — BP 的产物
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