arXiv:2409.16854cs.AI2024-09被引 1

用量化论证框架提升法律调解中目标可接受性的判断效率

Dispute resolution in legal mediation with quantitative argumentation

  • 构建融合事实与法律规范的量化论证框架
  • 实现变量值变化时目标可接受性自动更新
  • 适合法律人工智能与智能调解系统研究者

调解常被视为谈判的延伸,未充分考虑法律调解中规范与事实的独特作用。现有方法在变量变化时更新论证可接受性,往往需增删论证,效率低下。本文提出QuAM(Quantitative Argumentation Mediate)框架,整合当事人与调解员的知识(包括事实与法律规范),用于判断调解目标的可接受性。同时,设计新形式化方法,建模目标论证可接受性与相关变量取值之间的关系。以真实法律调解案例为实例,展示该方法的有效性。

原文摘要 · Abstract (English)

Mediation is often treated as an extension of negotiation, without taking into account the unique role that norms and facts play in legal mediation. Additionally, current approaches for updating argument acceptability in response to changing variables frequently require the introduction of new arguments or the removal of existing ones, which can be inefficient and cumbersome in decision-making processes within legal disputes. In this paper, our contribution is two-fold. First, we introduce a QuAM (Quantitative Argumentation Mediate) framework, which integrates the parties' knowledge and the mediator's knowledge, including facts and legal norms, when determining the acceptability of a mediation goal. Second, we develop a new formalism to model the relationship between the acceptability of a goal argument and the values assigned to a variable associated with the argument. We use a real-world legal mediation as a running example to illustrate our approach.

法律AI量化论证调解系统

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