摘要
在刑事司法证明过程中,证据推理的目的是构建案件事实,而论证方法、故事方法和概率方法是目前学界研究证据推理的三种主流方法。三种方法各有千秋,但目前还没有有效融合。研究发现,三种方法其实有着共同的推理基础——最佳解释推论,这使得融合三种方法,提出一种新的方法成为可能。正是在这一基础上,文章提出了定性定量平衡法,可以有效弥补三种主流方法的不足,同时又保留了它们各自的优势。研究结果表明,这种融合方法不仅对于证据推理研究具有重要的理论价值,而且对于智慧法院、智慧检务、智慧公案建设过程中建构面向法律人工智能的证据推理逻辑模型具有重要的现实意义。
In the criminal judicial proof process,the aim of evidential reasoning is to construct the facts of the case,while the argument method,the story method and the probability method are the three mainstream methods for studying evidential reasoning in academia today.Each of the three approaches has its own merits,but they have not yet been effectively integrated.This article finds that they actually share a common basis of reasoning,that is,inference to the best explanation,which makes it possible to fuse the three methods and to propose a new one.On this basis,this article proposes a qualitative and quantitative balanced approach that can effectively compensate for the shortcomings of the three mainstream approaches while retaining their respective strengths.The results show that the fusion method is not only of great theoretical value to the research of evidential reasoning,but also of great practical significance to the construction of an evidence logic model oriented to legal artificial intelligence in the process of establishing smart courts,smart procuratorial work and smart legal cases.
出处
《求是学刊》
CSSCI
北大核心
2020年第6期101-109,共9页
Seeking Truth
基金
国家社科基金一般项目“刑事证据推理的逻辑模型研究”(19BZX138)
关键词
司法证明
证据推理
最佳解释推论
定性定量平衡法
judicial proof
evidential reasoning
inference to the best explanation
qualitative and quantitative balance method
作者简介
杜文静,华东政法大学文伯书院副教授
