疑难案件中的法律逻辑

Legal Logic in Hard Cases

  • 摘要: 主流法律逻辑长期以演绎推理为重心。作为解决确定性问题的逻辑工具,演绎推理除了应对简单案件,在疑难案件中的作用主要在于修辞论证。疑难案件的思维决策还得寄望于解决不确定性问题的似真推理。但似真推理的现有研究主要源于经验观察,尚缺乏科学解释。以认知科学中的神经计算原理为基础,借助“贝叶斯大脑”学说,可用主观概率估算来解释似真推理的科学本质。至少对疑难案件的思维决策而言,法律逻辑的本质就是似真推理。似真推理在疑难案件中的思维过程主要包括:就某个法律事实之真伪、法律适用方案之可否,赋予先验概率;结合各种证据材料或法律适用意见随时更新主观概率,并形成后验概率;整体上对法律事实似真度或法律适用方案合理性予以权衡,并对后验概率进行检验和巩固。对比疑难案件中可供适用的概率推理、最佳解释推理、权衡论证等其他逻辑工具可以发现,似真推理有别于概率推理中的客观概率精准刻画,但与最佳解释推理和权衡论证共享着相似的思维方式。

     

    Abstract: The current mainstream legal logic still focuses on deductive reasoning. As a logical tool for resolving deterministic problems, deductive reasoning, apart from addressing simple cases, mainly serves as a rhetorical argument in hard cases. For the decision-making in hard cases, we still have to rely on the plausible reasoning and related logical tools for dealing with uncertain problems. However, the current research on plausible reasoning mainly comes from empirical observations and lacks scientific explanations. Based on the principles of cognitive science, especially neural computation, attempts to explain the scientific essence of plausible reasoning by using the theory of "Bayesian Brain" and compares the similarities and differences between plausible reasoning and probabilistic reasoning, inference to the best explanation, pro/con argumentation and other logical tools. In the aspect of logical decision-making in hard cases, this paper agrees agrees with the statement that the essence of legal logic is plausible reasoning, and discusses the operation mode and guarantee of plausible reasoning in hard cases.

     

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