Publication

Exploiting causality in constructing Bayesian network graphs from legal arguments

Wieten, R., Bex, F. J., Prakken, H. & Renooij, S., 2018, Legal Knowledge and Information Systems: JURIX 2018: The Thirty-First Annual Conference. Palmirani, M. (ed.). IOS Press, p. 151-160 (Frontiers in Artificial Intelligence and Applications; vol. 313).

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

APA

Wieten, R., Bex, F. J., Prakken, H., & Renooij, S. (2018). Exploiting causality in constructing Bayesian network graphs from legal arguments. In M. Palmirani (Ed.), Legal Knowledge and Information Systems: JURIX 2018: The Thirty-First Annual Conference (pp. 151-160). (Frontiers in Artificial Intelligence and Applications; Vol. 313). IOS Press. https://doi.org/10.3233/978-1-61499-935-5-151

Author

Wieten, Remi ; Bex, F.J. ; Prakken, Hendrik ; Renooij, Silja. / Exploiting causality in constructing Bayesian network graphs from legal arguments. Legal Knowledge and Information Systems: JURIX 2018: The Thirty-First Annual Conference. editor / Monica Palmirani. IOS Press, 2018. pp. 151-160 (Frontiers in Artificial Intelligence and Applications).

Harvard

Wieten, R, Bex, FJ, Prakken, H & Renooij, S 2018, Exploiting causality in constructing Bayesian network graphs from legal arguments. in M Palmirani (ed.), Legal Knowledge and Information Systems: JURIX 2018: The Thirty-First Annual Conference. Frontiers in Artificial Intelligence and Applications, vol. 313, IOS Press, pp. 151-160. https://doi.org/10.3233/978-1-61499-935-5-151

Standard

Exploiting causality in constructing Bayesian network graphs from legal arguments. / Wieten, Remi; Bex, F.J.; Prakken, Hendrik; Renooij, Silja.

Legal Knowledge and Information Systems: JURIX 2018: The Thirty-First Annual Conference. ed. / Monica Palmirani. IOS Press, 2018. p. 151-160 (Frontiers in Artificial Intelligence and Applications; Vol. 313).

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

Vancouver

Wieten R, Bex FJ, Prakken H, Renooij S. Exploiting causality in constructing Bayesian network graphs from legal arguments. In Palmirani M, editor, Legal Knowledge and Information Systems: JURIX 2018: The Thirty-First Annual Conference. IOS Press. 2018. p. 151-160. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-935-5-151


BibTeX

@inproceedings{430470c37a9049cdba37a89cc72850c4,
title = "Exploiting causality in constructing Bayesian network graphs from legal arguments",
author = "Remi Wieten and F.J. Bex and Hendrik Prakken and Silja Renooij",
year = "2018",
doi = "10.3233/978-1-61499-935-5-151",
language = "English",
isbn = "978-1-61499-934-8",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "151--160",
editor = "Monica Palmirani",
booktitle = "Legal Knowledge and Information Systems",

}

RIS

TY - GEN

T1 - Exploiting causality in constructing Bayesian network graphs from legal arguments

AU - Wieten, Remi

AU - Bex, F.J.

AU - Prakken, Hendrik

AU - Renooij, Silja

PY - 2018

Y1 - 2018

U2 - 10.3233/978-1-61499-935-5-151

DO - 10.3233/978-1-61499-935-5-151

M3 - Conference contribution

SN - 978-1-61499-934-8

T3 - Frontiers in Artificial Intelligence and Applications

SP - 151

EP - 160

BT - Legal Knowledge and Information Systems

A2 - Palmirani, Monica

PB - IOS Press

ER -

ID: 74506483