[论文] You Are in Control of Your State: Why Human Outcomes Are Controll...

论文概要

研究领域: AI 作者: Suraj Biswas, Saurav Gupta, Pritam Mukherjee 发布时间: 2026-05-28 arXiv: 2605.27580

中文摘要

行为科学和面向人类的人工智能面临一个核心谜题:个体内部变异性的持续存在。同一个体在面对相同的可观测输入时,在不同场合产生不同结果;不同个体则产生任何可观测协变量都无法完全预测的迥异结果。本文认为这种变异性属于个体的动态潜状态,人类结果在精确且可操作的意义上可通过干预-- targeting 决策形成时刻的状态及其权重--实现可控。作者将"状态"定义为随时间索引的权重向量,覆盖支配个体生物学、生理学和神经心理学将下一事件处理为决策和结果的维度。状态、决策和结果之间的关系是因果而非相关。该权重向量在日内时间尺度上动态变化。可报告结果的有意识通道是一个狭窄的注意力瓶颈,其内容本身即依赖于状态。综合这些论断意味着:给定事件的结果在干预时刻的状态轨迹条件下是可控的。

原文摘要

A central puzzle for the behavioural sciences and for human-facing artificial intelligence is the persistence of within-person variability. The same individual, presented with the same observable input, produces different outcomes on different occasions, and different individuals produce divergent outcomes that no observable covariate fully predicts. We argue that this variability belongs in the dynamic latent state of the person, and that human outcomes are controllable in a precise and operational sense through interventions that target the state and its weighting at the moment a decision is being formed. We define a state as the time-indexed weighting vector over the dimensions that govern how an individual's biology, physiology, and neuropsychology process the next event into a decision and an outcome. The relationship between state, decision, and outcome is causal rather than correl...

--- *自动采集于 2026-05-29*

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