用加权论证增强伦理决策推理，让观点和攻击有强弱之分。

Weighted Assumption Based Argumentation to reason about ethical principles and actions

• 为每个论证分配权重，量化其可信度
• 根据权重计算论证间的攻击强度，实现动态评估
• 适用于需要权衡道德原则的AI决策系统

本文在假设为基础的论证（Assumption Based Argumentation, ABA）框架中引入加权机制。通过为每个论证赋予权重，进而推导出论证之间的攻击权重。该方法在伦理推理领域通过实例进行说明，并基于答案集编程（Answer Set Programming）实现原型系统。加权设计使论证的可信度和攻击力度可量化，从而支持更精细的道德判断与推理过程，尤其适用于需要权衡多重伦理原则的复杂决策场景。

原文摘要 · Abstract (English)

We augment Assumption Based Argumentation (ABA for short) with weighted argumentation. In a nutshell, we assign weights to arguments and then derive the weight of attacks between ABA arguments. We illustrate our proposal through running examples in the field of ethical reasoning, and present an implementation based on Answer Set Programming.

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