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Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz)

KI 2019: KI 2019: Advances in Artificial Intelligence pp 273–276Cite as

Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract)

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11793))

Abstract

This extended abstract summarizes the key results from [10].

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Notes

  1. 1.

    https://sourceforge.net/projects/attractorproject.

References

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Author information

Authors and Affiliations

  1. Institute of Cognitive Science, University of Osnabrueck, Osnabrück, Germany

    Nico Potyka

Authors
  1. Nico Potyka
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Correspondence to Nico Potyka .

Editor information

Editors and Affiliations

  1. Freie Universität Berlin, Berlin, Germany

    Christoph Benzmüller

  2. Universität Mannheim, Mannheim, Germany

    Heiner Stuckenschmidt

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Potyka, N. (2019). Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract). In: Benzmüller, C., Stuckenschmidt, H. (eds) KI 2019: Advances in Artificial Intelligence. KI 2019. Lecture Notes in Computer Science(), vol 11793. Springer, Cham. https://doi.org/10.1007/978-3-030-30179-8_23

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  • DOI: https://doi.org/10.1007/978-3-030-30179-8_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30178-1

  • Online ISBN: 978-3-030-30179-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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