问HN：将执行功能建模为灰箱系统：有效还是妄想？
我在过去一年里将执行功能属性（如自律、毅力、耐心等）视为可变的“系统变量”，而非固定特质。<p>我采用系统工程的方法，在遇到瓶颈（例如拖延、过度紧张）时“开处方”基于认知行为疗法（CBT）的心理干预，同时识别哪些特质需要更多关注，以优化整体“系统”（我的）输出。<p>*模型概述*：<p>我使用灰箱模型，依赖以下前提：<p>1. 性能作为函数：性能输出在很大程度上是我列出的心理特质的函数。<p>2. 可变性：这些特质是可变的，最大化它们会显著提升性能。<p>3. 控制理论循环：使用控制理论定义这些特质的自我修正模型，并将其与一些基准（例如已交付的功能、损益）进行对比，通过对个性化心理干预进行试错，可以获得可操作的成长洞察。<p>*瓶颈*：<p>1. 它容易受到严重的“垃圾进垃圾出”（GIGO）影响。<p>2. 准确的状态评估目前需要高强度的日记记录，这是主要的失败点，但随着大型语言模型（LLM）日记的出现，这一问题并非不可克服。<p>*向HN提问*<p>1. 先前的研究：你们中有没有人采取结构化、量化的方法来改善这些（或其他）个性特质？<p>2. 安慰剂检查：请指出逻辑中的漏洞。我担心我个人在这种方法上取得的成功可能只是安慰剂效应。
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I’ve spent the last year treating executive function attributes (Discipline, Grit, Patience, etc.) as mutable "system variables" instead of fixed traits.<p>I’m taking a systems-engineering approach to “prescribe” CBT-based psychological interventions when I hit a wall (e.g. procrastination, "redlining"), and also to identify which traits need the most attention to optimize overall “system” (my) output.<p>*Model Overview*:<p>I’m using a Grey-Box model, dependent on the following premises:<p>1. Performance as Function: Performance output is in large part a function of the psychological traits I listed.<p>2. Mutability: These traits are mutable to the extent that maximizing them results in non-trivially enhanced performance.<p>3. Control Theory Loop: Defining a self-correcting model for these traits using control theory, benchmarking it vs some ground truth (e.g. features shipped, PnL), & running trial and error on individually-tailored psychological interventions can yield actionable growth insights.<p>*The Bottlenecks*:<p>1. It’s vulnerable to heavy GIGO ("Garbage-In-Garbage-Out").<p>2. Accurate state estimation currently requires high-friction journaling, which is the primary failure point, but not insurmountable w/ the advent of LLM journaling<p>*Questions for HN*<p>1. Prior Art: Do any of you take a structured, quantified approach to improving these (or any other) personality traits?<p>2. The Placebo Check: Please poke holes in the logic. I worry the success I’ve personally found with this approach may just be a placebo.