Formalising argumentative story-based analysis of evidence

F.J. Bex, H. Prakken, B. Verheij

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

32 Citations (Scopus)
333 Downloads (Pure)

Abstract

In the present paper, we provide a formalised version of a merged argumentative and story-based approach towards the analysis of evidence. As an application, we are able to show how our approach sheds new light on inference to the best explanation with case evidence. More specifically, it will be clarified how the events in a case story that are considered to be proven abductively explain the otherwise unproven events of the case story. We compare our approach with existing AI work on modelling legal reasoning with evidence.
Original languageEnglish
Title of host publicationThe 11th International Conference on Artificial Intelligence and Law. Proceedings of the Conference
Place of PublicationNew York (New York)
PublisherACM Press
Pages1-10
Number of pages10
ISBN (Print)978-1-59593-680-6
Publication statusPublished - 2007

Keywords

  • rechtsinformatica
  • 86.02

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