Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Baroni, Pietro"'
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 conf
Externí odkaz:
http://arxiv.org/abs/2208.10932
Causal models are playing an increasingly important role in machine learning, particularly in the realm of explainable AI. We introduce a conceptualisation for generating argumentation frameworks (AFs) from causal models for the purpose of forging ex
Externí odkaz:
http://arxiv.org/abs/2205.11589
Publikováno v:
In Artificial Intelligence November 2024 336
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, argumentative models have been advocated in both the AI and social science liter
Externí odkaz:
http://arxiv.org/abs/2105.11266
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 network classifiers (BCs), targeting greater transparency of their inn
Externí odkaz:
http://arxiv.org/abs/2012.05773
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. To address this limitation,
Externí odkaz:
http://arxiv.org/abs/1810.04892
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 present AFRA, a formalism encompassing unlimited recursive attacks within a
Externí odkaz:
http://arxiv.org/abs/1810.04886
Autor:
Riveret, Regis, Baroni, Pietro, Gao, Yang, Governatori, Guido, Rotolo, Antonino, Sartor, Giovanni
The combination of argumentation and probability paves the way to new accounts of qualitative and quantitative uncertainty, thereby offering new theoretical and applicative opportunities. Due to a variety of interests, probabilistic argumentation is
Externí odkaz:
http://arxiv.org/abs/1708.00109
Publikováno v:
In International Journal of Approximate Reasoning February 2019 105:252-286