个人工作站, 闲置推理服务器, 和作业) 之间的边缘设备上的大量计算(GPU 周期未被使用，因为不存在激励协调协议供其所有者安全且有利地共享它们。现有方法要么需要可信的中央协调员(云市场),，需要重型区块链基础设施(Golem, BrokerChain),，要么完全缺乏激励层(BOINC, Petals)。我们提出 SwarmHarness, 是一种去中心化协议，其中 HarnessAPI 技能节点在没有任何中央权限的情况下自组织成计算群。 SwarmHarness 具有三个互锁组件: 一个建立在分布式哈希表 (DHT) 上的 SwarmRegistry，用于对等发现和能力通告; 一个 SwarmRouter，使用功能上的实用函数, 负载, 延迟, 和信任; 和 SwarmCredit, 一种激励机制，通过 Shapley 值近似将计算信用奖励分配给贡献节点。节点通过提供任务来赚取积分，并花费积分来提交任务; 闲置节点从不贡献消耗积分并失去路由优先级, 创建一个自我调节的参与经济。由于节点专注于高回报技能，并且路由信号充当数字信息素,，因此网络表现出类似于生物群的新兴集体智慧。除了计算共享, SwarmHarness 是自治分布式人工智能代理网络的基础原语，其中代理雇用计算, 路由子任务, 并在没有人工干预的情况下结算信用。
Vast quantities of compute (GPU cycles on personal workstations, idle inference servers, and edge devices between jobs) go unused because no incentive-aligned protocol exists for their owners to share them safely and profitably. Existing approaches either require a trusted central coordinator (cloud marketplaces), demand heavy blockchain infrastructure (Golem, BrokerChain), or lack an incentive layer entirely (BOINC, Petals). We propose SwarmHarness, a decentralised protocol in which HarnessAPI skill nodes self-organise into a compute swarm without any central authority. SwarmHarness has three interlocking components: a SwarmRegistry built on a Distributed Hash Table (DHT) for peer discovery and capability advertisement; a SwarmRouter that dispatches tasks to nodes using a utility function over capability, load, latency, and trust; and SwarmCredit, an incentive mechanism that attributes compute-credit rewards to contributing nodes via a Shapley-value approximation. Nodes earn credits by serving tasks and spend credits to submit them; idle nodes that never contribute drain credits and lose routing priority, creating a self-regulating participation economy. As nodes specialise toward high-reward skills and routing signals act as digital pheromones, the network exhibits emergent collective intelligence analogous to biological swarms. Beyond compute sharing, SwarmHarness is a foundational primitive for autonomous distributed AI agent networks in which agents hire compute, route subtasks, and settle credits without human intermediation.
科目: 人工智能 (cs.AI); 分布式, 并行, 和集群计算 (cs.DC); 多代理系统 (cs.MA)
Subjects: Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Multiagent Systems (cs.MA)