AI 中文总结
研究非稳态控制系统在变化环境中的目标治理，提出双时间尺度问题及候选机制，通过实验发现该机制因时机问题增加决策成本，得出非稳态控制器修正目标应快于失去适用性的原则及相关结论。
AI 中文摘要
非稳态控制系统不仅决定系统如何追求目标，还关乎目标在环境变化时是否仍恰当。当控制器继续依据不再适用的参考标准进行调节时，这就很重要。我们将其视为双时间尺度问题：快速循环依据当前参考标准调节，慢速循环决定参考标准是否该变动。我们测试了一种候选机制，即慢速循环变动等待成熟结果证据。在预注册的综合实验中，该机制使决策成本比相同的有界适应增加了1.51%。核心问题是时机：证据到效果的路径往往无法在环境再次变化前使校正有效。结果促使了一个更广泛的设计原则：非稳态控制器必须能比因继续维护而失去适用性更快地修正不恰当目标。我们将非稳态控制系统视为变化环境中目标治理的一般工程问题，负面结果是使该问题可操作和可证伪的一步。
英文摘要
Allostatic control systems govern not only how a system pursues a goal, but whether the goal itself remains appropriate as the environment changes. This matters whenever a controller can continue to regulate successfully against a reference that no longer serves the system. We develop this as a two-timescale problem: a fast loop regulates under the current reference, while a slow loop governs whether that reference should move. We then test one candidate mechanism in which slow-loop movement waits for mature outcome evidence. In a preregistered synthetic experiment, that mechanism increased decision cost by 1.51% relative to otherwise identical bounded adaptation. The central failure was timing: the evidence-to-effect pathway often could not make correction effective before the environment changed again. The result motivates a broader design principle: an allostatic controller must be able to revise an inappropriate goal faster than serviceability is lost by continuing to defend it. We therefore treat allostatic control systems as a general engineering problem of goal governance under changing environments, and the negative result as one step toward making that problem operational and falsifiable.
Comments22 pages, 3 figures; preregistered negative result
