Understanding ProbLog as Probabilistic Argumentation
Author:
Affiliation:
1. Department of Computing, Imperial College London, UK
2. Department of Computer Science, Leipzig University, Germany
3. Department of Computer Science, KU Leuven, Belgium
Publisher
Open Publishing Association
Subject
Psychiatry and Mental health
Reference23 articles.
1. Semantic and geometric reasoning for robotic grasping: a probabilistic logic approach;Antanas;Auton. Robots,2019
2. AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models;Arya;J. Mach. Learn. Res.,2020
3. An Abstract, Argumentation-Theoretic Approach to Default Reasoning;Bondarenko;Artif. Intell.,1997
4. Assumption-based Argumentation: Disputes, Explanations, Preferences;Cyras;FLAP,2017
5. Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities;Cyras;Artif. Intell.,2021
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