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International Workshop on Theory and Applications of Formal Argumentation

TAFA 2015: Theory and Applications of Formal Argumentation pp 211–225Cite as

Persistence and Monotony Properties of Argumentation Semantics

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9524))

Abstract

We study a number of properties concerning the behaviour of semantics for Dung style abstract argumentation when the argumentation framework changes. The properties are concerned with how the evaluation of an argumentation framework changes if an attack between two arguments is added or removed. The results provide insight into the behaviour of these semantics in a dynamic context.

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Author information

Authors and Affiliations

  1. Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg

    Tjitze Rienstra

  2. Wakayama University, Wakayama, Japan

    Chiaki Sakama

  3. Computer Science and Communication, University of Luxembourg, Luxembourg City, Luxembourg

    Leendert van der Torre

Authors
  1. Tjitze Rienstra
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  2. Chiaki Sakama
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  3. Leendert van der Torre
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Corresponding author

Correspondence to Tjitze Rienstra .

Editor information

Editors and Affiliations

  1. King's College London, London, United Kingdom

    Elizabeth Black

  2. Strand Building;Strand Campus, King's College London, London, United Kingdom

    Sanjay Modgil

  3. Department of Computing Science, University of Aberdeen, Aberdeen, United Kingdom

    Nir Oren

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© 2015 Springer International Publishing Switzerland

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Rienstra, T., Sakama, C., van der Torre, L. (2015). Persistence and Monotony Properties of Argumentation Semantics. In: Black, E., Modgil, S., Oren, N. (eds) Theory and Applications of Formal Argumentation. TAFA 2015. Lecture Notes in Computer Science(), vol 9524. Springer, Cham. https://doi.org/10.1007/978-3-319-28460-6_13

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  • DOI: https://doi.org/10.1007/978-3-319-28460-6_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28459-0

  • Online ISBN: 978-3-319-28460-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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