DocumentCode
1906433
Title
Computing the Extensions of an Argumentation Framework Based on Its Strongly Connected Components
Author
Beishui Liao ; Huaxin Huang
Author_Institution
Zhejiang Univ., Hangzhou, China
Volume
1
fYear
2012
fDate
7-9 Nov. 2012
Firstpage
1047
Lastpage
1052
Abstract
Currently, only some argumentation frameworks (AFs) with special topologies have been identified as tractable classes. By taking advantage of the tractability of some parts of a general AF, this paper proposes a method to compute the extensions of an AF based on its strongly connected components (SCCs). In this method, an AF is partitioned into a set of sub frameworks (by a linear time algorithm) according to its SCCs. Under an argumentation semantics that satisfies the criterion of directionality, sets of extensions of all sub-frameworks can be computed locally, and combined incrementally to form the extensions of the original AF. The analysis shows that by using this method the complexity of computing the extensions of an AF may be reduced to a greater or a lesser extent, depending on the size and the topology of a dominant sub-framework of the AF, as well as the number of extensions of the AF.
Keywords
artificial intelligence; computational complexity; argumentation framework; computational complexity; linear time algorithm; special topologies; strongly connected components; Artificial intelligence; Graph theory; Partitioning algorithms; Semantics; Time complexity; Topology; abstract argumentation framework; argumentation semantics; computational complexity; local tractability;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2012 IEEE 24th International Conference on
Conference_Location
Athens
ISSN
1082-3409
Print_ISBN
978-1-4799-0227-9
Type
conf
DOI
10.1109/ICTAI.2012.147
Filename
6495164
Link To Document