Exploiting causality in constructing Bayesian network graphs from legal arguments

G.M. Wieten, F.J. Bex, H. Prakken, S. Renooij

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

Abstract

In this paper, we propose a structured approach for transforming legal arguments to a Bayesian network (BN) graph. Our approach automatically constructs a fully specified BN graph by exploiting causality information present in legal arguments. Moreover, we demonstrate that causality information in addition provides for constraining some of the probabilities involved. We show that for undercutting attacks it is necessary to distinguish between causal and evidential attacked inferences, which extends on a previously proposed solution to modelling undercutting attacks in BNs. We illustrate our approach by applying it to part of an actual legal case, namely the Sacco and Vanzetti legal case.
Original languageEnglish
Title of host publicationProceedings of Jurix 2018
PublisherIOS Press
Pages151-160
Number of pages10
DOIs
Publication statusPublished - 2018

Publication series

NameFrontiers in Artificial Intelligence and Applications

Fingerprint

Bayesian networks

Keywords

  • Bayesian networks, Legal reasoning, Argumentation, Causality

Cite this

Wieten, G. M., Bex, F. J., Prakken, H., & Renooij, S. (2018). Exploiting causality in constructing Bayesian network graphs from legal arguments. In Proceedings of Jurix 2018 (pp. 151-160). (Frontiers in Artificial Intelligence and Applications). IOS Press. https://doi.org/10.3233/978-1-61499-935-5-151
Wieten, G.M. ; Bex, F.J. ; Prakken, H. ; Renooij, S. / Exploiting causality in constructing Bayesian network graphs from legal arguments. Proceedings of Jurix 2018. IOS Press, 2018. pp. 151-160 (Frontiers in Artificial Intelligence and Applications).
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Wieten, GM, Bex, FJ, Prakken, H & Renooij, S 2018, Exploiting causality in constructing Bayesian network graphs from legal arguments. in Proceedings of Jurix 2018. Frontiers in Artificial Intelligence and Applications, IOS Press, pp. 151-160. https://doi.org/10.3233/978-1-61499-935-5-151

Exploiting causality in constructing Bayesian network graphs from legal arguments. / Wieten, G.M.; Bex, F.J.; Prakken, H.; Renooij, S.

Proceedings of Jurix 2018. IOS Press, 2018. p. 151-160 (Frontiers in Artificial Intelligence and Applications).

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

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Wieten GM, Bex FJ, Prakken H, Renooij S. Exploiting causality in constructing Bayesian network graphs from legal arguments. In Proceedings of Jurix 2018. IOS Press. 2018. p. 151-160. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-935-5-151