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Interpreting and explaining pagerank through argumentation semantics

Articolo
Data di Pubblicazione:
2021
Abstract:
In this paper we show how re-interpreting PageRank as an argumentation semantics for a bipolar argumentation framework empowers its explainability. After showing that PageRank, naively re-interpreted as an argumentation semantics for support frameworks, fails to satisfy some generally desirable properties, we propose a novel approach able to reconstruct PageRank as a gradual semantics of a suitably defined bipolar argumentation framework, while satisfying these properties. We then show how the theoretical advantages afforded by this approach also enjoy an enhanced explanatory power: we propose several types of argument-based explanations for PageRank, each of which focuses on different aspects of the algorithm and uncovers information useful for the comprehension of its results.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
explainability; gradual argumentation semantics; PageRank; quantitative bipolar argumentation frameworks
Elenco autori:
Albini, E.; Baroni, P.; Rago, A.; Toni, F.
Autori di Ateneo:
BARONI Pietro
Link alla scheda completa:
https://iris.unibs.it/handle/11379/551905
Pubblicato in:
INTELLIGENZA ARTIFICIALE
Journal
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