Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4945317 | International Journal of Approximate Reasoning | 2017 | 52 Pages |
Abstract
In this work, we redefine the argumentative process to improve the analysis of arguments by considering their special features in order to obtain more refined results. Towards this end, we propose adding meta-level information to the arguments in the form of labels representing quantifiable data ranking over a range of fuzzy valuations. These labels are propagated through an argumentative graph according to the relations of support, conflict, and aggregation between arguments. Through this process we obtain final labels that are useful in determining argument acceptability.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Maximiliano C.D. Budán, Gerardo I. Simari, Ignacio Viglizzo, Guillermo R. Simari,