AI 中文总结
研究具身人工智能中持续智能体的治理问题，提出可治理个体概念，其能力可变，权限等只能通过特定签名生命周期转换扩展，经测试发现仅学习判断和行为测试不足，需架构性承载层，还介绍了相关抽象概念、机制及开放问题。
AI 中文摘要
具身人工智能正从可部署模型转向在实际场景中学习、获取技能并能跨实体迁移的持续智能体。治理这样的系统意味着治理个体而非模型，现有方案无法适用于不断自我改写的智能体。我们提出可治理个体，其能力可无界变化，但其权限、记忆模式、实体权利和能力清单只能通过更新公共身份承诺的签名生命周期转换来扩展。测试表明仅学习判断和行为测试不足以实现，承载层必须是架构性的。我们描述了抽象概念、实现它的运行时机制及其间的开放问题。
英文摘要
Embodied artificial intelligence is moving from deployable models to persistent agents that learn in the field, acquire skills and migrate across bodies. Governing such a system means governing an individual, not a model, and existing proposals (agent identifiers, activity logs, guardrails) do not survive an agent that keeps rewriting itself. We propose the governable individual: an agent whose competence may change without bound, but whose authority, memory schema, embodiment rights and capability roster can widen only through signed lifecycle transitions that update a public identity commitment. In our tests, neither learned judgement nor behavioural testing was sufficient to carry this on its own; the load-bearing layer must be architectural. We describe the abstraction, a runtime mechanism that realizes it, and the open problems in between.
CommentsPerspective paper. Companion technical report with proofs and empirical evaluation to be posted separately on arXiv
