mlsanityData to 14 Oct 2026

ABA Learning via ASP

arXiv 2308.15877 ↗First posted 30 Aug 2023cs.AI cs.LOcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 2 of its 19 references that are in the map. First posted on arXiv 30 Aug 2023.

Builds on

2 of 19 references.

References · 2

  1. 2017A New Algorithm to Automate Inductive Learning of Default Theoriescited by 14
  2. 2023Learning Assumption-based Argumentation Frameworkscited by 3

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Cited by year

Citing papers per year: 2024: 2; 2025: 2.

4 papers.

  1. 2024Learning Brave Assumption-Based Argumentation Frameworks via ASPcited by 3
  2. 2024Argumentation and Machine Learningcited by 1
  3. 2025Object-Centric Neuro-Argumentative Learningcited by 1
  4. 2025Object-Centric Case-Based Reasoning via Argumentationcited by 1