A Semantical Approach to Abstraction in Answer Set Programming and Assumption-based Argumentation

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

Abstract

Recently forms of abstraction have been proposed for both logic programs (LPs) under the answer set semantics (ASP) and for the related formalism of assumption-based argumentation (ABA), e.g., via clustering of atoms or assumptions, in order to simplify a given LP or ABA framework. In both approaches after clustering the original answer sets and assumption sets are over-approximated, with the aim of avoiding spuriousness. In contrast, in ASP a given LP is syntactically modified to achieve over-approximation, while on ABA the framework is minimally modified and the semantics is abstracted. In this work we follow the latter approach and provide a novel semantical abstraction for LPs and for ABA frameworks corresponding to LPs.
Originalspracheenglisch
TitelLogic Programming and Nonmonotonic Reasoning - 17th International Conference, LPNMR 2024, Proceedings
Redakteure/-innenCarmine Dodaro, Gopal Gupta, Maria Vanina Martinez
Herausgeber (Verlag)Springer
Seiten228-234
Seitenumfang7
Band15245
ISBN (Print)9783031742088
DOIs
PublikationsstatusVeröffentlicht - 2024
VeranstaltungInternational Conference on Logic Programming and Non-monotonic Reasoning - Dallas, USA / Vereinigte Staaten
Dauer: 11 Okt. 202414 Okt. 2024
https://lpnmr2024.demacs.unical.it/home-page

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band15245 LNAI
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

KonferenzInternational Conference on Logic Programming and Non-monotonic Reasoning
KurztitelLPNMR 2024
Land/GebietUSA / Vereinigte Staaten
OrtDallas
Zeitraum11/10/2414/10/24
Internetadresse

ASJC Scopus subject areas

  • Theoretische Informatik
  • Allgemeine Computerwissenschaft

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