ADF-BDD.DEV: Insights to undecided Statements in Abstract Dialectical Frameworks

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Abstract

Abstract Dialectical Frameworks (ADF) are a well known and understood generalisation of Dung's Argumentation frameworks. Multiple approaches to solve the computation and enumeration of the semantics have been proposed over the last decade. One recent approach is to solve the computational hard problems by translating the acceptance condition of a given ADF into reduced ordered binary decision diagrams (roBDD). The use of roBDDs lays a foundation for straightforward graphical visualization of the underlying ADFs and their solutions. In this work, we present ADF-BDD.DEV, a web-service that generates graphical representations of ADFs and for different semantics, allowing their comparison and to spot the influence of yet undecided statements. We propose that this is a first steps towards better explainability and understanding of ADFs.

Details

Original languageEnglish
Title of host publicationAI^3 2023 - 7th Workshop on Advances in Argumentation in Artificial Intelligence
EditorsGianvincenzo Alfano, Stefano Ferilli
Number of pages7
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesCEUR Workshop Proceedings
Volume3546
ISSN1613-0073

Workshop

Title7th Workshop on Advances in Argumentation in Artificial Intelligence
Abbreviated titleAI3 2023
Conference number7
DescriptionColocated with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023)
Duration9 November 2023
Website
LocationRoma Tre University
CityRome
CountryItaly

Keywords

ASJC Scopus subject areas

Keywords

  • Abstract Argumentation, Abstract Dialectical Frameworks, Explanation, Tool, Visualisation, Web Service