Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Schulz, Claudia
Satoh, Ken
and
Toni, Francesca
2015.
Logic Programming and Nonmonotonic Reasoning.
Vol. 9345,
Issue. ,
p.
467.
FANDINNO, JORGE
2016.
Deriving conclusions from non-monotonic cause-effect relations.
Theory and Practice of Logic Programming,
Vol. 16,
Issue. 5-6,
p.
670.
CABALAR, PEDRO
and
FANDINNO, JORGE
2016.
Justifications for programs with disjunctive and causal-choice rules.
Theory and Practice of Logic Programming,
Vol. 16,
Issue. 5-6,
p.
587.
CABALAR, PEDRO
and
FANDINNO, JORGE
2017.
Enablers and inhibitors in causal justifications of logic programs.
Theory and Practice of Logic Programming,
Vol. 17,
Issue. 1,
p.
49.
Schulz, Claudia
and
Toni, Francesca
2017.
Labellings for assumption-based and abstract argumentation.
International Journal of Approximate Reasoning,
Vol. 84,
Issue. ,
p.
110.
Toni, Francesca
2017.
Logic Programming and Nonmonotonic Reasoning.
Vol. 10377,
Issue. ,
p.
36.
ELLMAUTHALER, STEFAN
and
SCHULZ, CLAUDIA
2019.
Introduction to the TPLP Special Issue on User-oriented Logic Programming and Reasoning Paradigms.
Theory and Practice of Logic Programming,
Vol. 19,
Issue. 2,
p.
109.
Strass, Hannes
Wyner, Adam
and
Diller, Martin
2019.
EMIL: Extracting Meaning from Inconsistent Language.
International Journal of Approximate Reasoning,
Vol. 112,
Issue. ,
p.
55.
Dauphin, Jérémie
and
Satoh, Ken
2019.
PRIMA 2019: Principles and Practice of Multi-Agent Systems.
Vol. 11873,
Issue. ,
p.
610.
Rolf, Lena
Kern-Isberner, Gabriele
and
Brewka, Gerhard
2019.
Logic Programming and Nonmonotonic Reasoning.
Vol. 11481,
Issue. ,
p.
89.
Heyninck, Jesse
and
Arieli, Ofer
2019.
Progress in Artificial Intelligence.
Vol. 11805,
Issue. ,
p.
526.
FANDINNO, JORGE
and
SCHULZ, CLAUDIA
2019.
Answering the “why” in answer set programming – A survey of explanation approaches.
Theory and Practice of Logic Programming,
Vol. 19,
Issue. 2,
p.
114.
Arias, Joaquín
Carro, Manuel
Chen, Zhuo
and
Gupta, Gopal
2020.
Justifications for Goal-Directed Constraint Answer Set Programming.
Electronic Proceedings in Theoretical Computer Science,
Vol. 325,
Issue. ,
p.
59.
BOGATARKAN, AYSU
and
ERDEM, ESRA
2020.
Explanation Generation for Multi-Modal Multi-Agent Path Finding with Optimal Resource Utilization using Answer Set Programming.
Theory and Practice of Logic Programming,
Vol. 20,
Issue. 6,
p.
974.
Cabalar, Pedro
Fandinno, Jorge
and
Muñiz, Brais
2020.
A System for Explainable Answer Set Programming.
Electronic Proceedings in Theoretical Computer Science,
Vol. 325,
Issue. ,
p.
124.
Trieu, Ly Ly
Son, Tran Cao
and
Balduccini, Marcello
2021.
exp(ASPc) : Explaining ASP Programs with Choice Atoms and Constraint Rules.
Electronic Proceedings in Theoretical Computer Science,
Vol. 345,
Issue. ,
p.
155.
Vassiliades, Alexandros
Bassiliades, Nick
and
Patkos, Theodore
2021.
Argumentation and explainable artificial intelligence: a survey.
The Knowledge Engineering Review,
Vol. 36,
Issue. ,
Arias, Joaquín
Moreno-Rebato, Mar
Rodriguez-García, Jose A.
and
Ossowski, Sascha
2021.
Advances in Artificial Intelligence.
Vol. 12882,
Issue. ,
p.
258.
Wakaki, Toshiko
2022.
Foundations of Information and Knowledge Systems.
p.
35.
Arias, Joaquín
Moreno-Rebato, Mar
Rodriguez-García, Jose A.
and
Ossowski, Sascha
2023.
Automated legal reasoning with discretion to act using s(LAW).
Artificial Intelligence and Law,