no code implementations • 23 Aug 2022 • Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Lance M. Kaplan, Murat Sensoy
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 11 remaining carbon budget likely to limit warming to 1. 5C (medium confidence)."
no code implementations • 23 May 2022 • Antonio Rago, Pietro Baroni, Francesca Toni
Causal models are playing an increasingly important role in machine learning, particularly in the realm of explainable AI.
no code implementations • 24 May 2021 • Kristijonas Čyras, Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
Explainable AI (XAI) has been investigated for decades and, together with AI itself, has witnessed unprecedented growth in recent years.
no code implementations • 10 Dec 2020 • Antonio Rago, Emanuele Albini, Pietro Baroni, Francesca Toni
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.
no code implementations • 11 Oct 2018 • Pietro Baroni, Federico Cerutti, Paul E. Dunne, Massimiliano Giacomin
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 as a process involving infinite objects.
no code implementations • 11 Oct 2018 • Pietro Baroni, Federico Cerutti, Massimiliano Giacomin, Giovanni Guida
The issue of representing attacks to attacks in argumentation is receiving an increasing attention as a useful conceptual modelling tool in several contexts.
no code implementations • 1 Aug 2017 • Regis Riveret, Pietro Baroni, Yang Gao, Guido Governatori, Antonino Rotolo, Giovanni Sartor
The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities.