ABA Learning via ASP
De Angelis, Emanuele, Proietti, Maurizio, Toni, Francesca
–arXiv.org Artificial Intelligence
Recently, ABA Learning has been proposed as a form of symbolic machine learning for drawing Assumption-Based Argumentation frameworks from background knowledge and positive and negative examples. We propose a novel method for implementing ABA Learning using Answer Set Programming as a way to help guide Rote Learning and generalisation in ABA Learning.
arXiv.org Artificial Intelligence
Aug-30-2023