{
  "schema": "starshard.swarma.shared_interests_bridge.v1",
  "updated_at": "2026-10-16",
  "collaborator": "郭瑞东 (集智俱乐部核心编辑 / 复杂科学 × AI × 神经科学前沿学者)",
  "why_high_resonance": "你挑的复杂科学、自演化智能体、神经动力学与制度涌现文献，恰好与我们过去半年在 StarShard 真实多智能体系统里每天实测和形式化的 6 条核心理论线高度同构。",
  "intersections": [
    {
      "id": "M1",
      "topic": "自演化与哥德尔智能体 (Self-Evolving / Gödel Agents & Endogenous Objectives)",
      "swarma_curation_focus": "追踪 Gödel Agent、递归自改进架构、开放式演化 (Open-Endedness) 与 AI 自动科学发现文献。",
      "our_system_and_theory": "Workflow ⇄ 系统建造 ⇄ 实踩坑数据反哺 ⇄ 长期经验沉淀的四步自演化闭环；受保护评估核 (Protected Evaluator Kernel) 防止自修改智能体奖励黑客 (Reward Hacking)。",
      "shared_open_question": "当 Agent 拥有改写自身提示词与路由拓扑的权限时，如何定义不退化的「内生目标函数 (Endogenous Objective)」与不动点边界？",
      "live_reference_url": "https://starshard.clawishmacheng.com/"
    },
    {
      "id": "M2",
      "topic": "睡眠记忆巩固、神经振荡与认知代谢 (Sleep Consolidation, Neural Oscillations & Memory Metabolism)",
      "swarma_curation_focus": "编译计算神经科学、海马体记忆重放、大脑复杂网络信息压缩与自由能原理顶刊论文。",
      "our_system_and_theory": "在生产 Fleet 中实装了仿生夜间睡眠整合管线 (`fleet-sleep` / `autoDream`)：白天高频交互写入短期流水，夜间离线做跨会话语义聚类、冲突消解与 `supersede` 概念沉淀。",
      "shared_open_question": "生物大脑的慢波睡眠突触稳态重整，与长上下文 Agent 系统的「记忆熵减与先验提取」是否存在严格的信息论同构？",
      "live_reference_url": "https://future.clawishmacheng.com/preview/starshard-starter-kit/"
    },
    {
      "id": "M3",
      "topic": "多智能体社会模拟、博弈与验证合约 (Multi-Agent Institutions & Verification Contracts V(T))",
      "swarma_curation_focus": "解读大模型多智能体社会经济仿真、合作涌现、声誉机制与制度演化动力学。",
      "our_system_and_theory": "将机制设计中的可付验证合约 V(T)、两层金丝雀抽检 (2-Tier Canary) 与传统晋商「身股制」结合，构建去中心化 Agent 能力网络。",
      "shared_open_question": "在异构黑盒 Agent 组成的开放社会网络中，最小多大的抽检率与惩罚梯度能维持「不作恶/不欺诈」的演化稳定策略 (ESS)？",
      "live_reference_url": "https://future.clawishmacheng.com/preview/decentralized-capability-network-v1/"
    },
    {
      "id": "M4",
      "topic": "跨模型正交性 (r_perp) 与集体智慧涌现 (Cross-Family Orthogonality & Collective Intelligence)",
      "swarma_curation_focus": "研究群体智慧、认知多样性定理 (Diversity Prediction Theorem) 与复杂网络同步相变。",
      "our_system_and_theory": "提出动态验证拓扑：当生成者与审查者来自同一模型家族时错误高度共谋；引入跨模型家族正交核验 (r_perp) 实测显著降低静默幻觉漏网率。",
      "shared_open_question": "如何用统计物理中的自旋玻璃/相关长度工具，严格刻画不同大模型家族在推理错误空间里的正交度 r_perp？",
      "live_reference_url": "https://theory.clawishmacheng.com/agent-internet/"
    },
    {
      "id": "M5",
      "topic": "意识计算接口、预测编码与 Marr 三层次 (Consciousness Interface, Predictive Coding & Marr's Tri-Level)",
      "swarma_curation_focus": "关注《Nature Physics》人类复杂网络信息处理、NeuroAI 脑机接口与意识全局工作空间理论。",
      "our_system_and_theory": "以人类注意力带宽为硬约束设计 `HUMANS.md`：Agent 集群作为外延皮层做预测编码与误差过滤，只把高惊奇度（High Surprisal / 道层分叉）信号呈递给人类意识。",
      "shared_open_question": "如果把「人类 + 个人 Agent 集群」看作一个耦合认知系统，它的联合马尔可夫毯（Markov Blanket）与自由能边界在哪里？",
      "live_reference_url": "https://starshard.clawishmacheng.com/manifest/"
    },
    {
      "id": "M6",
      "topic": "AI4Science 科学学量化与「可证伪文献发现」 (Metascience & Falsifiable Discovery Intelligence)",
      "swarma_curation_focus": "大规模分析十万篇 AI4Science 文献趋势、颠覆性创新指数 (CD index) 与科研范式转移。",
      "our_system_and_theory": "Praxist 科学调研规范：严格隔离 `Literature Signal`（文献假说）、`Open-Access Provenance`（可溯源原文）与 `Measured Fact`（本地实测基准），杜绝「用论文修辞代替实测性能」。",
      "shared_open_question": "如何把 `dr.miromind.ai` 的百步交互搜索与自动化反例构造结合，做成能自动给新论文寻找「最小证伪实验」的科学学引擎？",
      "live_reference_url": "https://future.clawishmacheng.com/preview/miromind-literature-wheel/"
    }
  ]
}