--- title: "Research Hypothesis Tree" created: 2026-06-24 updated: 2026-06-24 type: concept tags: ["knowledge-management", "research", "tree-structure", "agent-state"] sources: - "[[arbor-htr-2026]]" --- # Research Hypothesis Tree Research Hypothesis Tree 是 Arbor 框架中持久化研究状态的核心数据结构:一个有根树,每个节点绑定假设、洞察、证据和产物引用。 ## 节点结构 n = ⟨h, ι, µ⟩ - **h (Hypothesis)**:可验证/可证伪的改进主张 - **ι (Insight)**:可复用的证据解读(叶子=本地,内部=子节点抽象) - **µ (Metadata)**:{status, dev_score, result, git_branch/commit, evidence} ## 结构特性 - **根节点**:初始产物 M0 - **内部节点**:抽象研究方向,累积子节点经验 - **叶子节点**:可调度的具体干预候选项 - **边**:父子关系 = 细化方向 ## 状态类型 | 状态 | 含义 | |------|------| | Pending | 未尝试 | | Running | 正在执行 | | Validated | 已验证但未合并 | | Merged | 通过 merge gate,更新 Mbest | | Pruned | 剪枝(失败或不 promising) | | Failed but Informative | 失败但产生有用洞察 | ## 作用 1. 搜索前沿可视化 2. 长期语义记忆(成功+失败) 3. 可审计的科研记录 ## 参考 - [[arbor-htr-2026]] - [[hypothesis-tree-refinement]] - [[insight-backpropagation]]