An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms

Autor:	Fungwacharakorn, Wachara, Tsushima, Kanae, Hosobe, Hiroshi, Takeda, Hideaki, Satoh, Ken
Rok vydání:	2024
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: submitted to VECOMP/AICOM 2024 associated with 27th European Conference on Artificial Intelligence (ECAI2024)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2409.04065 Zobrazit plný text záznamu View this record from Arxiv