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cs.AI2026
Governable Individuals: An Identity Layer for Embodied Agents That Keep Learning
Xue Qin, Simin Luan, Cong Yang +1
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 me…
cs.AI2026
Governed Individuation: Cryptographically Decoupling an Agent's Learning from Its Authority
Xue Qin, Simin Luan, Cong Yang +1
Autonomous agents are moving from sandboxed text generators to operators of code, data, and physical infrastructure, and they increasingly learn while deployed. This reopens a ques…
cs.AI2026
Episodic-to-Semantic Consolidation Without Identity Drift
Xue Qin, Simin Luan, Cong Yang +1
Long-running adaptive intelligent agents face a structural tension between knowledge consolidation and information integrity. Memory consolidation is conventionally treated as an a…