1 citations · 1 across the 2 of their papers we have counts for
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Explaining Causal Models with Argumentation: the Case of Bi-variate Reinforcement
Antonio Rago, Pietro Baroni, Francesca Toni
Causal models are playing an increasingly important role in machine learning, particularly in the realm of explainable AI. We introduce a conceptualisation for generating argumenta…
Argumentative XAI: A Survey
Kristijonas Čyras, Antonio Rago, Emanuele Albini +2
Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years. Among various approaches to XAI, argumentat…
Influence-Driven Explanations for Bayesian Network Classifiers
Antonio Rago, Emanuele Albini, Pietro Baroni +1
One of the most pressing issues in AI in recent years has been the need to address the lack of explainability of many of its models. We focus on explanations for discrete Bayesian…
Automata for Infinite Argumentation Structures
Pietro Baroni, Federico Cerutti, Paul E. Dunne +1
The theory of abstract argumentation frameworks (afs) has, in the main, focused on finite structures, though there are many significant contexts where argumentation can be regarded…
AFRA: Argumentation framework with recursive attacks
Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +1
The issue of representing attacks to attacks in argumentation is receiving an increasing attention as a useful conceptual modelling tool in several contexts. In this paper we prese…