Instantiating metalevel argumentation frameworks

Anthony P. Young*, Nadin Kokciyan, Isabel Sassoon, Sanjay Modgil, Simon Parsons

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We directly instantiate metalevel argumentation frameworks (MAFs) to enable argumentation-based reasoning about information relevant to various applications. The advantage of this is that information that typically cannot be incorporated via the instantiation of object-level argumentation frameworks can now be incorporated, in particular information referencing (1) preferences over arguments, (2) the rationale for attacks, and (3) the dialectical effect of critical questions that shifts the burden of proof when posed. We achieve this by using a variant of ASPIC + and a higher-order typed language that can reference object-level formulae and arguments. We illustrate these representational advantages with a running example from clinical decision support.

Original languageEnglish
Title of host publicationComputational Models of Argument
EditorsSanjay Modgil, Katarzyna Budzynska, John Lawrence, Katarzyna Budzynska
PublisherIOS Press
Number of pages12
ISBN (Electronic)978-1-61499-906-5
ISBN (Print)978-1-61499-905-8
Publication statusPublished - 14 Sept 2018
Event7th International Conference on Computational Models of Argument, COMMA 2018 - Warsaw, Poland
Duration: 12 Sept 201814 Sept 2018

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314


Conference7th International Conference on Computational Models of Argument, COMMA 2018

Keywords / Materials (for Non-textual outputs)

  • Formal models for argumentation
  • Type theory


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