An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms
Abstract
Although various aspects of soft-constraint based norms have been explored, it is still challenging to understand preemption. Preemption is a situation where higher-level norms override lower-level norms when new information emerges. To address this, we propose a derivation state argumentation framework (DSA-framework). DSA-framework incorporates derivation states to explain how preemption arises based on evolving situational knowledge. Based on DSA-framework, we present an argumentative approach for explaining preemption. We formally prove that, under local optimality, DSA-framework can provide explanations why one consequence is obligatory or forbidden by soft-constraint based norms represented as logical constraint hierarchies.
Cite
@article{arxiv.2409.04065,
title = {An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms},
author = {Wachara Fungwacharakorn and Kanae Tsushima and Hiroshi Hosobe and Hideaki Takeda and Ken Satoh},
journal= {arXiv preprint arXiv:2409.04065},
year = {2024}
}
Comments
submitted to VECOMP/AICOM 2024 associated with 27th European Conference on Artificial Intelligence (ECAI2024)