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A Labeled Abstract Bipolar Argumentation Framework

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8864)

Abstract

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.

Keywords

  • Recommender System
  • Logic Programming
  • Support Relation
  • Argumentation Framework
  • Attack Relation

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Maximiliano Celmo David Budán .

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Budán, M.C.D., Viglizzo, I., Simari, G.R. (2014). A Labeled Abstract Bipolar Argumentation Framework. In: Bazzan, A., Pichara, K. (eds) Advances in Artificial Intelligence -- IBERAMIA 2014. IBERAMIA 2014. Lecture Notes in Computer Science(), vol 8864. Springer, Cham. https://doi.org/10.1007/978-3-319-12027-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-12027-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12026-3

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