尽管不透明,仍有概率上一致的可信度

Christian List
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引用次数: 0

摘要

现实中的人,即使按照日常标准是理性的,有时也会对客观上等价的陈述赋予不同的可信度,如 "奥威尔是作家 "和 "E.A. 布莱尔是作家",或者对必然为真的陈述赋予小于 1 的可信度,如尚未证实的算术定理。安娜-马赫塔尼称这种现象为 "不透明"。不透明可信度在概率论上似乎是不连贯的,这违背了概率论的一个关键建模假设。我将简要介绍一种建模策略,在不放弃概率一致性的前提下捕捉不透明可信度分配。我借鉴了判断-聚合理论的观点,在该理论中,我们面临着定义 "判断对象 "的类似挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Probabilistically coherent credences despite opacity

Real human agents, even when they are rational by everyday standards, sometimes assign different credences to objectively equivalent statements, such as ‘Orwell is a writer’ and ‘E.A. Blair is a writer’, or credences less than 1 to necessarily true statements, such as not-yet-proven theorems of arithmetic. Anna Mahtani calls this the phenomenon of ‘opacity’. Opaque credences seem probabilistically incoherent, which goes against a key modelling assumption of probability theory. I sketch a modelling strategy for capturing opaque credence assignments without abandoning probabilistic coherence. I draw on ideas from judgement-aggregation theory, where we face similar challenges of defining the ‘objects of judgement’.

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