Weighted Assumption Based Argumentation to reason about ethical principles and actions
This work addresses ethical reasoning challenges in AI, but it is incremental as it builds on existing ABA frameworks.
The paper tackles the problem of reasoning about ethical principles and actions by augmenting Assumption Based Argumentation (ABA) with weighted argumentation, assigning weights to arguments and deriving attack weights, and presents an implementation using Answer Set Programming.
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.