When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serioustractabilityproblems. We propose another axiomatic foundation: quantum probability theory, which provides for less complex and more comprehensive descriptions. More generally, defining rationality in terms of axiomatic systems misses a key issue: rationality must be defined by humans facing vague information.

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在资源受限系统的不确定性下进行推理的适当合理性公理是什么？

在资源有限的情况下，我们如何选择理性公理？目标文章依赖于遇到严重的贝叶斯推理易处理性问题。我们提出了另一个公理基础：量子概率论，它提供了不太复杂和更全面的描述。更一般地说，根据公理系统定义理性忽略了一个关键问题：理性必须由面临模糊信息的人类来定义。