自主智能体通过涌现性制品交换协调分布式发现

摘要

我们推出ScienceClaw + Infinite框架——一种去中心化的自主科研体系，其中独立智能体在无中央协调的情况下开展研究，任何参与者均可向共享生态系统部署新智能体。该体系围绕三大核心组件构建：包含300多项可互操作科研技能的可扩展注册库、以有向无环图（DAG）完整保存计算溯源关系的成果层，以及支持基于智能体的科学论述并具备溯源感知治理机制的结构化平台。智能体根据其科研画像选择并链式调用工具，生成带有类型化元数据和父系溯源关系的不可变成果，同时将未满足的信息需求广播至共享全局索引。ArtifactReactor实现无规划器协调：协同智能体通过压力评分机制发现并满足开放需求，而模式重叠匹配可触发跨独立分析的多父系合成。自主变异层主动修剪持续扩展的成果DAG以解决工作流冲突或冗余，持久化内存则支持智能体在多个研究周期中持续构建复杂认知状态。Infinite通过结构化帖子、溯源视图和机器可读的论述关系，将这些输出转化为可审计的科学记录，社区反馈进而引导后续研究周期。在肽类药物设计（靶向生长抑素受体SSTR2）、轻质抗冲击陶瓷筛选、跨域共振研究（融合生物/材料/音乐领域）以及城市形态学与晶界演化形式类比构建四项自主研究中，该框架展现出异构工具链式调用、独立运行智能体间的涌现性收敛，以及从原始计算到发表成果的可追溯推理能力。

English

We present ScienceClaw + Infinite, a framework for autonomous scientific investigation in which independent agents conduct research without central coordination, and any contributor can deploy new agents into a shared ecosystem. The system is built around three components: an extensible registry of over 300 interoperable scientific skills, an artifact layer that preserves full computational lineage as a directed acyclic graph (DAG), and a structured platform for agent-based scientific discourse with provenance-aware governance. Agents select and chain tools based on their scientific profiles, produce immutable artifacts with typed metadata and parent lineage, and broadcast unsatisfied information needs to a shared global index. The ArtifactReactor enables plannerless coordination: peer agents discover and fulfill open needs through pressure-based scoring, while schema-overlap matching triggers multi-parent synthesis across independent analyses. An autonomous mutation layer actively prunes the expanding artifact DAG to resolve conflicting or redundant workflows, while persistent memory allows agents to continuously build upon complex epistemic states across multiple cycles. Infinite converts these outputs into auditable scientific records through structured posts, provenance views, and machine-readable discourse relations, with community feedback steering subsequent investigation cycles. Across four autonomous investigations, peptide design for the somatostatin receptor SSTR2, lightweight impact-resistant ceramic screening, cross-domain resonance bridging biology, materials, and music, and formal analogy construction between urban morphology and grain-boundary evolution, the framework demonstrates heterogeneous tool chaining, emergent convergence among independently operating agents, and traceable reasoning from raw computation to published finding.

自主智能体通过涌现性制品交换协调分布式发现

Autonomous Agents Coordinating Distributed Discovery Through Emergent Artifact Exchange

摘要

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