Case-based reasoning with precedent models: Preliminary report

Heng Zheng*, Davide Grossi, Bart Verheij

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)
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Formalizing case-based reasoning is an important topic in AI and Law, which has been discussed using various approaches, such as formal dialogue games, abstract dialectical frameworks. In this paper we model case-based reasoning by using the formal argument semantics of case models. With the precedent models we present, the validity of legal arguments in the case-based reasoning process can be shown formally. We also present a case study of precedent models in a real legal domain and evaluate the validity of arguments in case-based reasoning.
Original languageEnglish
Title of host publicationFrontiers in Artificial Intelligence and Applications
EditorsH. Prakken
PublisherIOS Press
Number of pages8
ISBN (Print)9781643681061
Publication statusPublished - 31-Aug-2020

Publication series

NameFrontiers in Artificial Intelligence and Applications


  • Case-based reasoning
  • Legal argumentation
  • Precedent

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