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。在该系统中，独立智能体无需中央协调即可开展研究，任何参与者都能向共享生态部署新智能体。该框架包含三大核心组件：涵盖300余种可互操作科研技能的可扩展注册库、以有向无环图（DAG）完整保存计算谱系的成果层，以及支持溯源治理的结构化智能体科研交流平台。智能体根据其科研特征配置调用工具链，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全局索引。ArtifactReactor模块实现无规划器协同：通过压力驱动评分机制，智能体可自主发现并填补开放需求；而模式重叠匹配会触发跨独立分析的多父系合成。自主变异层能主动修剪持续扩张的成果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次研究周期中持续构建复杂认知状态。Infinite模块通过结构化报告、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研记录，社区反馈将引导后续研究周期。在肽类SSTR2受体设计、轻质抗冲击陶瓷筛选、跨域共振（连接生物/材料/音乐领域）及城市形态与晶界演化的形式类比构建四项自主研究中，本框架展现出异构工具链整合、独立智能体间涌现式收敛、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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