Intelligent evaluation of evidence using Wigmore diagrams

Michal Chalamish, Dov Gabbay, Uri Schild

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

In this paper, we characterize a Wigmore Diagram as an information-flow network. A fuzzy approach to weighing the strength of the evidence is defined and compared to the well-known probabilistic approach. This enables an intelligent computer evaluation of the evidence, in order to support a practicing lawyer.

Original languageEnglish
Title of host publication13th International Conference on Artificial Intelligence and Law, ICAIL 2011 - Proceedings of the Conference
Pages61-65
Number of pages5
DOIs
StatePublished - 2011
Event13th International Conference on Artificial Intelligence and Law, ICAIL 2011 - Pittsburgh, PA, United States
Duration: 6 Jun 201110 Jun 2011

Publication series

NameProceedings of the International Conference on Artificial Intelligence and Law

Conference

Conference13th International Conference on Artificial Intelligence and Law, ICAIL 2011
Country/TerritoryUnited States
CityPittsburgh, PA
Period6/06/1110/06/11

Keywords

  • Wigmore Diagrams
  • evidence
  • fuzzy logic
  • networks

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