activity
20172022
most citedAFRA: Argumentation framework with recursive attacks

145 citations · 175 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2022

Research Note on Uncertain Probabilities and Abstract Argumentation

Pietro Baroni, Federico Cerutti, Massimiliano Giacomin +2

The sixth assessment of the international panel on climate change (IPCC) states that "cumulative net CO2 emissions over the last decade (2010-2019) are about the same size as the 1…

cs.AI2022★ 1 cited

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…

cs.AI2021

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…

cs.AI2020

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…

cs.AI2018★ 26 cited

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…

cs.AI2018★ 145 cited

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…

cs.AI2017★ 3 cited

A Labelling Framework for Probabilistic Argumentation

Regis Riveret, Pietro Baroni, Yang Gao +3

The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportu…