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Probabilistic models of legal corroboration
The International Journal of Evidence & Proof ( IF 1.037 ) Pub Date : 2019-07-30 , DOI: 10.1177/1365712719864608
Rafal Urbaniak 1 , Pavel Janda 1
Affiliation  

The aim is to develop a sensible probabilistic model of legal corroboration in response to an attack on the probabilistic approach to legal reasoning due to Cohen. One of Cohen’s arguments is that there is no probabilistic measure of evidential support which satisfactorily captures the situation in which independent witnesses testify to the truth of the same proposition (or independent pieces of evidence converge on a certain claim)—the phenomenon called corroboration (or convergence). We investigate the properties of several probabilistic measures discussed by Cohen, discuss Cohen’s criticism of those measures, and develop our own. Finally, we offer a probabilistic measure of corroboration that evades the critical points raised against the ones discussed so far.

中文翻译:

法律佐证的概率模型

目的是开发一个合理的法律佐证概率模型,以应对 Cohen 对法律推理的概率方法的攻击。科恩的一个论点是,没有证据支持的概率测量可以令人满意地捕捉独立证人证明同一命题的真实性(或独立证据集中在某个主张上)的情况——这种现象称为确证(或收敛)。我们调查了 Cohen 讨论的几种概率测度的性质,讨论了 Cohen 对这些测度的批评,并发展了我们自己的测度。最后,我们提供了一种概率性的佐证措施,可以避开针对目前讨论的那些提出的关键点。
更新日期:2019-07-30
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