Precedent-Based Reasoning with Incomplete Cases

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

Abstract

We extend the result model for precedent-based reasoning with incomplete case bases. In contrast to regular case bases, these consist of incomplete cases for which not all dimension values need to be specified, but rather each dimension is assigned a set of possible values. The outcome of cases then applies for each (combination of) the possible dimension values. Building on earlier proposed notions of justification and stability for incomplete focus cases, we introduce the notion of possible justification statuses, which are required to maintain consistency of the incomplete case base. We demonstrate how these theoretic notions can be applied in practice for human-in-the-loop decision support, discuss their computational complexity and provide efficient algorithms.
Original languageEnglish
Title of host publicationLegal Knowledge and Information Systems
Subtitle of host publicationProceedings of Jurix 2023
EditorsGiovanni Sileno, Jerry Spanakis, Gijs van Dijck
PublisherIOS Press
Pages33-42
Number of pages10
ISBN (Electronic)978-1-64368-473-4
ISBN (Print)978-1-64368-472-7
DOIs
Publication statusPublished - 2023

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume379
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Keywords

  • precedential constraint
  • incomplete cases

Fingerprint

Dive into the research topics of 'Precedent-Based Reasoning with Incomplete Cases'. Together they form a unique fingerprint.

Cite this