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A Numerical Approach to the Merging of Argumentation Networks

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Computational Logic in Multi-Agent Systems (CLIMA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7486))

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Abstract

In this paper, we propose a numerical approach to the problem of merging of argumentation networks. The idea is to consider an augmented network containing the arguments and attacks of all networks to be merged and then associate a weight to each of its components based on how they are perceived by the agents associated with the local networks. The combined weighted network is then used to define a system of equations from which the overall strength of the arguments is calculated.

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Author information

Authors and Affiliations

  1. Bar Ilan University, Israel

    Dov Gabbay

  2. Department of Informatics, King’s College London, UK

    Dov Gabbay & Odinaldo Rodrigues

  3. University of Luxembourg, Luxembourg

    Dov Gabbay

Authors
  1. Dov Gabbay
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  2. Odinaldo Rodrigues
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Liverpool, L69 3BX, Liverpool, UK

    Michael Fisher

  2. University of Luxembourg, 6 Rue Richard Coudenhove-Kalergi, 1359, Luxembourg, Luxembourg

    Leon van der Torre

  3. Department of Information and Computing Sciences, Utrecht University, Princetonplein 5, 3584 CC, Utrecht, The Netherlands

    Mehdi Dastani

  4. Queensland Research Laboratory, NICTA, 4067, St. Lucia, QLD, Australia

    Guido Governatori

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© 2012 Springer-Verlag Berlin Heidelberg

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Gabbay, D., Rodrigues, O. (2012). A Numerical Approach to the Merging of Argumentation Networks. In: Fisher, M., van der Torre, L., Dastani, M., Governatori, G. (eds) Computational Logic in Multi-Agent Systems. CLIMA 2012. Lecture Notes in Computer Science(), vol 7486. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32897-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-32897-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32896-1

  • Online ISBN: 978-3-642-32897-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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