Paper Info
Title
0-1 Integer Programming For Computing Semi-Stable Semantics Of Argumentation Frameworks
Abstract
Dung's abstract argumentation has been an object of intense study not only due to its relationship with logical reasoning but also because of its uses within artificial intelligence. One research branch in abstract argumentation has focused on finding new methods for computing its different semantics. We present a novel method, to the best of our knowledge, for computing semi-stable semantics using 0-1 integer programming. This approach captures the notions of conflict freeness, acceptability, maximality with regard to set inclusion, etc., by 0-1 integer constraints. Additionally, this work also presents an empirical experiment to compare our novel approach with an answer set programming approach. Our results indicate that the new method performed well, and it has a great opportunity space for improving.
Year
Venue
Keywords
2017
COMPUTACION Y SISTEMAS
Argumentation frameworks, binary programming, answer set programming, semi-stable semantics
Field
DocType
Volume
Integer,Logical reasoning,Computer science,Argumentation theory,Theoretical computer science,Integer programming,Stable model semantics,Answer set programming,Semantics,Well-founded semantics
Journal
21
Issue
ISSN
Citations 
3
1405-5546
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Mauricio Osorio143652.82
Juan A. Díaz217814.00
Alejandro Santoyo321.05