collaborators

9 papers

math.LO2026

The tolerant learning hierarchy for c.e. sets

Vittorio Cipriani, Martin Ritter, Luca San Mauro

Learning from positive data models a scenario in which a learner receives longer and longer initial segments of an enumeration of an unknown set and repeatedly outputs a conjecture…

cs.AI2026

Tenability and Weak Semantics: Modeling Non-uniform Defense -- Extended Version

Uri Andrews, Luca San Mauro, John Spoerl

In Dung-style abstract argumentation, various semantics capture notions of acceptability of arguments. The admissibility semantics capture the notion that an argument can be consis…

math.LO2026

Isomorphism relations on classes of c.e. algebras

Meng-Che "Turbo" Ho, Martin Ritter, Luca San Mauro

We investigate the complexity of isomorphism relations for classes of finitely generated and n-generated computably enumerable (c.e.) algebras, presented via c.e. presentations --…

cs.AI2025

On the Complexity of the Grounded Semantics for Infinite Argumentation Frameworks

Uri Andrews, Luca San Mauro

Argumentation frameworks, consisting of arguments and an attack relation representing conflicts, are fundamental for formally studying reasoning under conflicting information. We u…

cs.AI2025

Complexity in finitary argumentation (extended version)

Uri Andrews, Luca San Mauro

Abstract argumentation frameworks (AFs) provide a formal setting to analyze many forms of reasoning with conflicting information. While the expressiveness of general infinite AFs m…

cs.LG2025

On statistical learning of graphs

Vittorio Cipriani, Valentino Delle Rose, Luca San Mauro +1

We study PAC and online learnability of hypothesis classes formed by copies of a countably infinite graph G, where each copy is induced by permuting G's vertices. This corresponds…