A Labeled Abstract Bipolar Argumentation Framework

被引:2
作者
David Budan, Maximiliano Celmo [1 ,2 ]
Viglizzo, Ignacio [2 ]
Ricardo Simari, Guillermo [1 ]
机构
[1] Univ Nacl Sur, Dept Comp Sci & Engn, Artificial Intelligence Res & Dev Lab, RA-8000 Bahia Blanca, Buenos Aires, Argentina
[2] Consejo Nacl Invest Cient & Tecn, Buenos Aires, DF, Argentina
来源
ADVANCES IN ARTIFICIAL INTELLIGENCE (IBERAMIA 2014) | 2014年 / 8864卷
关键词
SUPPORT; ACCEPTABILITY;
D O I
10.1007/978-3-319-12027-0_3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Argumentation is a form of reasoning where a claim is accepted or rejected according to the analysis of the arguments for and against it; furthermore, it provides a reasoning mechanism able to handle contradictory, incomplete and uncertain information in real-world situations. We combine Bipolar Argumentation Frameworks (an extension of Dung's work) with an Algebra of Argumentation Labels modeling two independent types of interaction between arguments, representing meta-information associated with arguments, and introducing an acceptability notion that will give more information for arguments acceptability.
引用
收藏
页码:28 / 40
页数:13
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