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20102026
most citedDynamic Magic Sets for Super-Consistent Answer Set Programs

5 citations · 10 across the 12 of their papers we have counts for

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13 papers · 1 filter

cs.AI2026

Logic-Guided Data Extraction with Answer Set Programming and Large Language Models

Mario Alviano, Lorenzo Grillo, Nicola Leone +1

When Large Language Models (LLMs) are used for semantic data extraction from unstructured text, producing candidate relational facts from natural language, they may remain unreliab…

cs.AI2023★ 2 cited

Explanations for Answer Set Programming

Mario Alviano, Ly Ly Trieu, Tran Cao Son +1

The paper presents an enhancement of xASP, a system that generates explanation graphs for Answer Set Programming (ASP). Different from xASP, the new system, xASP2, supports differe…

cs.AI2023

Rethinking Answer Set Programming Templates

Mario Alviano, Giovambattista Ianni, Francesco Pacenza +1

In imperative programming, the Domain-Driven Design methodology helps in coping with the complexity of software development by materializing in code the invariants of a domain of i…

cs.AI2023

A preferential interpretation of MultiLayer Perceptrons in a conditional logic with typicality

Mario Alviano, Francesco Bartoli, Marco Botta +3

In this paper we investigate the relationships between a multipreferential semantics for defeasible reasoning in knowledge representation and a multilayer neural network model. Wei…

cs.AI2023★ 1 cited

Complexity and scalability of defeasible reasoning in many-valued weighted knowledge bases with typicality

Mario Alviano, Laura Giordano, Daniele Theseider Dupré

Weighted knowledge bases for description logics with typicality under a "concept-wise" multi-preferential semantics provide a logical interpretation of MultiLayer Perceptrons. In t…

cs.AI2022

Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation

Mario Alviano, Laura Giordano, Daniele Theseider Dupré

In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning ov…