An Argumentative Approach for Explaining Preemption in Soft-Constraint Based Norms
Fungwacharakorn, Wachara, Tsushima, Kanae, Hosobe, Hiroshi, Takeda, Hideaki, Satoh, Ken
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Sep-6-2024
- Country:
- Asia > Japan
- Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.15)
- North America > United States (0.04)
- Asia > Japan
- Genre:
- Research Report (0.40)
- Technology: