Extracting scenarios from a Bayesian network as explanations for legal evidence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Original language	English
Title of host publication	Legal Knowledge and Information Systems. JURIX 2014: The Twenty-seventh Annual Conference
Editors	R. Hoekstra
Publisher	IOS Press
Pages	103-112
Publication status	Published - 2014

Access to Document

@inproceedings{dc79b61d6b1344ec95e7d856f69b8d29,

title = "Extracting scenarios from a Bayesian network as explanations for legal evidence",

author = "Charlotte Vlek and Hendrik Prakken and S. Renooij and Bart Verheij",

year = "2014",

language = "English",

pages = "103--112",

editor = "R. Hoekstra",

booktitle = "Legal Knowledge and Information Systems. JURIX 2014: The Twenty-seventh Annual Conference",

publisher = "IOS Press",

}

Legal Knowledge and Information Systems. JURIX 2014: The Twenty-seventh Annual Conference. ed. / R. Hoekstra. IOS Press, 2014. p. 103-112.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Extracting scenarios from a Bayesian network as explanations for legal evidence

AU - Vlek, Charlotte

AU - Prakken, Hendrik

AU - Renooij, S.

AU - Verheij, Bart

PY - 2014

Y1 - 2014

M3 - Conference contribution

SP - 103

EP - 112

BT - Legal Knowledge and Information Systems. JURIX 2014: The Twenty-seventh Annual Conference

A2 - Hoekstra, R.

PB - IOS Press

ER -