2015 IEEE 27th International Conference on Tools With Artificial Intelligence (ICTAI) 2015
DOI: 10.1109/ictai.2015.134
|View full text |Cite
|
Sign up to set email alerts
|

CoQuiAAS: A Constraint-Based Quick Abstract Argumentation Solver

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
25
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
5
3
1

Relationship

1
8

Authors

Journals

citations
Cited by 26 publications
(25 citation statements)
references
References 17 publications
0
25
0
Order By: Relevance
“…In [72], the encoding proposed by Besnard and Doutre in [11] is used in two different ways. First, it is used directly in a SAT solver for computing the semantics that are in the first level of the polynomial hierarchy.…”
Section: Some Implementationsmentioning
confidence: 99%
“…In [72], the encoding proposed by Besnard and Doutre in [11] is used in two different ways. First, it is used directly in a SAT solver for computing the semantics that are in the first level of the polynomial hierarchy.…”
Section: Some Implementationsmentioning
confidence: 99%
“…Moreover in the context of the First International Competition on Computational Models of Argumentation (ICCMA), different solvers have been proposed and tested (e.g. [26], or [27]). However, in all these works, neither the attack relation itself is logically encoded, nor the recursive aspects are taken into account.…”
Section: Case Of Afmentioning
confidence: 99%
“…The first two places were taken by ArgSemSAT and CEGARTIX, whose algorithms are described in terms of abstract solvers in Sections 3.1 and 3.2, respectively. The other solvers in the top five were LabSATSolver, ASPARTIX-V [28] and CoQuiAAS [32] (system descriptions of all participating solvers can be found in [49]). While LabSATSolver uses the same algorithm as ArgSemSAT for this particular task, ASPARTIX-V and CoQuiAAS are reduction-based approaches, using translations to ASP and a particular variant of Max-SAT, respectively.…”
Section: Related Workmentioning
confidence: 99%