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Haskell Gets Argumentative

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Trends in Functional Programming (TFP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7829))

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Abstract

Argumentation theory is an interdisciplinary field studying how conclusions can be reached through logical reasoning. The notion of argument is completely general, including for example legal arguments, scientific arguments, and political arguments. Computational argumentation theory is studied in the context of artificial intelligence, and a number of computational argumentation frameworks have been put forward to date. However, there is a lack of concrete, high level realisations of these frameworks, which hampers research and applications at a number of levels. We hypothesise that the lack of suitable domain-specific languages in which to formalise argumentation frameworks is a contributing factor. In this paper, we present a formalisation of a particular computational argumentation framework, Carneades, as a case study with a view to investigate the extent to which functional languages are useful as a means to realising computational argumentation frameworks and reason about them.

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Author information

Authors and Affiliations

  1. Functional Programming Laboratory, School of Computer Science, University of Nottingham, United Kingdom

    Bas van Gijzel & Henrik Nilsson

Authors
  1. Bas van Gijzel
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  2. Henrik Nilsson
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Editors and Affiliations

  1. School of Mathematics and Computer Science, Heriot-Watt University, EH14 4AS, Edinburgh, Scotland, UK

    Hans-Wolfgang Loidl

  2. Facultad de Informática, Universidad Complutense de Madrid, c/. Profesor José García Santesmases s/n, 28040, Madrid, Spain

    Ricardo Peña

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van Gijzel, B., Nilsson, H. (2013). Haskell Gets Argumentative. In: Loidl, HW., Peña, R. (eds) Trends in Functional Programming. TFP 2012. Lecture Notes in Computer Science, vol 7829. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40447-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-40447-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40446-7

  • Online ISBN: 978-3-642-40447-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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