A Labeled Abstract Bipolar Argumentation Framework

MAXIMILIANO C. D. BUDÁN; IGNACIO VIGLIZZO; GUILLERMO SIMARI

Santiago de Chile

Conferencia; Ibero-American Conference on Artificial Intelligence IBERAMIA 2014; 2014

Pontificia Universidad Católica de Chile

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.