Collegium Helveticum, Zürich,
Department of Psychology, City University London, LondonEC1V 0HB, United
Behav Brain Sci. 2020 Mar 11;43:e2. doi: 10.1017/S0140525X19001535.
When constrained by limited resources, how do we choose axioms of rationality? The target article relies on Bayesian reasoning that encounter serious tractability problems. 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.
当资源有限时，我们如何选择理性公理？本文依赖于贝叶斯推理，但这种推理存在严重的可处理性问题。我们提出了另一种公理基础：量子概率论，它提供了更简单和更全面的描述。更一般地说，用公理系统来定义理性忽略了一个关键问题：理性必须由面对模糊信息的人类来定义。
