ABA Learning via ASP
arXiv:2308.15877 · doi:10.4204/EPTCS.385.1
Abstract
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.
In Proceedings ICLP 2023, arXiv:2308.14898