提出量化多论据对议题贡献的新函数，支持复杂论证分析。
Set Contribution Functions for Quantitative Bipolar Argumentation and their Principles
- 将单论据贡献扩展为多论据集合的量化方法
- 定义新原则以捕捉论据间的交互效应
- 适用于推荐系统等实际场景的论证评估
我们提出了用于量化论证图中一组论据对特定议题（即目标论据）最终强度贡献的函数。这些集合贡献函数是现有单个论据贡献函数的推广。相应地，我们对集合贡献函数进行了原则化推广，并提供了基于原则的分析。我们引入了专属于集合函数的新原则，聚焦于论据集合内部的交互特性。最后，我们在推荐系统应用场景下展示了这些原则在不同集合贡献函数中的具体表现。
原文摘要 · Abstract (English)
We present functions that quantify the contribution of a set of arguments in quantitative bipolar argumentation graphs to (the final strength of) an argument of interest, a so-called topic. Our set contribution functions are generalizations of existing functions that quantify the contribution of a single contributing argument to a topic. Accordingly, we generalize existing contribution function principles for set contribution functions and provide a corresponding principle-based analysis. We introduce new principles specific to set-based functions that focus on properties pertaining to the interaction of arguments within a set. Finally, we sketch how the principles play out across different set contribution functions given a recommendation system application scenario.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。