[论文] Coupled Control, Structured Memory, and Verifiable Action in Agentic A...

论文概要

研究领域: AI 作者: Maximiliano Armesto, Christophe Kolb 发布时间: 2026-04-03 arXiv: 2604.03201

中文摘要

Agentic AI越来越不是仅凭流畅输出来评判，而是看其能否在部分可观测性、延迟和策略性观察下行动、记忆和验证。本文认为松鼠生态学提供了一个尖锐的比较案例，因为树栖运动、分散贮藏和观众敏感缓存将这三种需求耦合在一个生物体中。我们引入了一个最小的分层部分观测控制模型，具有潜在动态、结构化情景记忆、观察者信念状态、选项级动作和延迟验证器信号。

原文摘要

Agentic AI is increasingly judged not by fluent output alone but by whether it can act, remember, and verify under partial observability, delay, and strategic observation. Existing research often studies these demands separately: robotics emphasizes control, retrieval systems emphasize memory, and alignment or assurance work emphasizes checking and oversight. This article argues that squirrel ecology offers a sharp comparative case because arboreal locomotion, scatter-hoarding, and audience-sensitive caching couple all three demands in one organism. We synthesize evidence from fox, eastern gray, and, in one field comparison, red squirrels, and impose an explicit inference ladder: empirical observation, minimal computational inference, and AI design conjecture. We introduce a minimal hierar...

自动采集于 2026-04-06

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