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。
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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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