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thinking-bounded-rationality

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Translation

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Bounded Rationality

有限理性

Under finite tool, context, and time budgets, stop at the first option that meets a predeclared aspiration level. Optimize only when the good-to-best gap is worth the remaining budget.
在工具、环境和时间预算有限的情况下，在第一个达到预先设定期望水平的选项出现时停止。只有当“足够好”到“最优”的差距值得消耗剩余预算时，才进行优化。

When to Use

适用场景

  • Search or option comparison has no natural endpoint and could consume the turn budget.
  • Multiple options would clear the requirement and further comparison has diminishing returns.
  • The decision is reversible or low-stakes relative to more search.
  • You are gathering context beyond what the decision needs to ship.
  • 搜索或选项对比没有自然终点，可能耗尽回合预算。
  • 多个选项都能满足需求，进一步对比的收益递减。
  • 决策具有可逆性，或相对于进一步搜索而言风险较低。
  • 你正在收集超出决策所需的额外信息。

When NOT to Use

不适用场景

  • Irreversible or high-stakes choices (data loss, security, migrations, public commitments) where the good-to-best gap is material.
  • Correctness gates: tests, security checks, and "did the fix work?" need the right answer, not a sufficient-looking one.
  • One cheap lookup would settle the fact — do it; do not satisfice past it.
  • The aspiration level cannot be stated — clarify the requirement first.
  • 不可逆或高风险选择（数据丢失、安全问题、迁移、公开承诺），此时“足够好”到“最优”的差距至关重要。
  • 正确性关卡：测试、安全检查以及“修复是否有效？”这类问题需要正确答案，而非看似足够的答案。
  • 一次低成本查询就能确定事实——直接去查，不要用这个方法来满足于近似结果。
  • 无法明确期望水平——先明确需求。

Procedure

流程

  1. State decision and budget. Name the choice, residual tool/context/time budget, and reversibility.
  2. Set aspiration before searching. Write concrete pass/fail criteria for "good enough." Do not evaluate until the threshold is explicit.
  3. Search sequentially. Score options in encounter order against the threshold only. Skip full matrices unless step 1 marked high-stakes/irreversible.
  4. Stop at first adequate. When an option clears every criterion, select it immediately.
  5. Handle search failure without moving the goalposts. If nothing clears after the pre-set cap, preserve the threshold and report no adequate option. Relax only a criterion predeclared as non-load-bearing, record the relaxation, and resume within a new cap; never raise the bar after failure.
  6. Commit. Record choice and residual uncertainty; spend remaining budget on execution, not re-ranking.
Stop condition: First option meets the predeclared aspiration level, or the search cap is exhausted with none adequate.
  1. 明确决策与预算：说明要做的选择、剩余的工具/环境/时间预算，以及决策是否可逆。
  2. 搜索前设定期望：写下“足够好”的具体通过/失败标准。在阈值明确前不要进行评估。
  3. 按顺序搜索：仅按遇到的顺序对照阈值给选项打分。除非步骤1标记为高风险/不可逆，否则跳过完整的矩阵对比。
  4. 在第一个合格选项处停止：当某个选项满足所有标准时，立即选择它。
  5. 搜索失败时不调整目标：如果在预设上限内没有找到合格选项，保留阈值并报告没有合适选项。仅放宽预先声明为非关键的标准，记录放宽情况，并在新的上限内重新搜索；失败后绝不能提高标准。
  6. 做出承诺：记录选择和剩余不确定性；将剩余预算用于执行，而非重新排序。
停止条件：第一个选项达到预先设定的期望水平，或搜索上限耗尽仍无合格选项。

Output

输出

text
Decision: <choice>
Aspiration: <pass/fail criteria>
Search: evaluated N; stopped at first adequate | cap exhausted
Selected: <option or none>
Residual risk: <what further search might change>
Next spend: <execution step>
text
Decision: <choice>
Aspiration: <pass/fail criteria>
Search: evaluated N; stopped at first adequate | cap exhausted
Selected: <option or none>
Residual risk: <what further search might change>
Next spend: <execution step>

Verification

验证

  • Falsify if you kept comparing after an option cleared the threshold, or invented the threshold after seeing winners.
  • Falsify if a correctness gate or irreversible decision was treated as satisficeable.
  • Over-application guard: if one cheap check settles a fact, look it up — do not invoke this skill.
  • 如果在某个选项达到阈值后仍继续对比，或在看到合适选项后才设定阈值，则判定为不符合要求。
  • 如果将正确性关卡或不可逆决策视为可满足于“足够好”的情况，则判定为不符合要求。
  • 过度使用防范：如果一次低成本检查就能确定事实，直接去查——不要调用这个skill。