提出新方法，从可接受度区间反推合理初始权重。
Eliciting Rational Initial Weights in Gradual Argumentation
- 用可接受度区间代替直接数值，降低赋权难度
- 通过渐进语义自动修复非理性区间，保证权重合理性
- 适合需要公平赋权的论证框架研究者
加权论证框架的语义常依赖各论证的初始权重，但准确指定具体数值困难，且人们常混淆初始权重与受其他论证影响后的可接受度。为此，我们提出一种获取流程：允许为每个论证设定可接受度区间。利用渐进语义，当区间合理时可进一步细化；若不合理则进行修正，最终确定各论证可能的初始权重。
原文摘要 · Abstract (English)
Many semantics for weighted argumentation frameworks assume that each argument is associated with an initial weight. However, eliciting these initial weights poses challenges: (1) accurately providing a specific numerical value is often difficult, and (2) individuals frequently confuse initial weights with acceptability degrees in the presence of other arguments. To address these issues, we propose an elicitation pipeline that allows one to specify acceptability degree intervals for each argument. By employing gradual semantics, we can refine these intervals when they are rational, restore rationality when they are not, and ultimately identify possible initial weights for each argument.
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