ADF - BDD : An ADF Solver Based on Binary Decision Diagrams
Aus International Center for Computational Logic
ADF - BDD : An ADF Solver Based on Binary Decision Diagrams
Stefan EllmauthalerStefan Ellmauthaler, Sarah Alice GagglSarah Alice Gaggl, Dominik RusovacDominik Rusovac, Johannes P. WallnerJohannes P. Wallner
Stefan Ellmauthaler, Sarah Alice Gaggl, Dominik Rusovac, Johannes P. Wallner
ADF - BDD : An ADF Solver Based on Binary Decision Diagrams
In Francesca Toni, eds., Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), volume 220146 of FAIA, 355-356, September 2022. IOS Press
ADF - BDD : An ADF Solver Based on Binary Decision Diagrams
In Francesca Toni, eds., Proceedings of the 9th International Conference on Computational Models of Argument (COMMA 2022), volume 220146 of FAIA, 355-356, September 2022. IOS Press
- KurzfassungAbstract
Abstract Dialectical Frameworks (ADF) are a generalisation of Dung’s Argumentation frameworks [2]. Multiple approaches for reasoning under various semantics have been proposed over the last decade [3,4,5,6]. We present “Abstract Dialectical Frameworks solved by Binary Decision Diagrams, developed in Dresden” (ADF - BDD) a novel approach that relies on the translation of the acceptance conditions of a given ADF into reduced ordered binary decision diagrams (roBDD). - Projekt:Project: CPEC, NAVAS, ScaDS.AI
- Verknüpfte Tools:Related Tools: adf-bdd
- Forschungsgruppe:Research Group: Logische Programmierung und ArgumentationLogic Programming and Argumentation, Wissensbasierte SystemeKnowledge-Based Systems
@inproceedings{EGRW2022,
author = {Stefan Ellmauthaler and Sarah Alice Gaggl and Dominik Rusovac and
Johannes P. Wallner},
title = {ADF - {BDD} : An {ADF} Solver Based on Binary Decision Diagrams},
editor = {Francesca Toni},
booktitle = {Proceedings of the 9th International Conference on Computational
Models of Argument (COMMA 2022)},
series = {FAIA},
volume = {220146},
publisher = {IOS Press},
year = {2022},
month = {September},
pages = {355-356},
doi = {10.3233/FAIA220170}
}