Causal models versus reason models in Bayesian networks for legal evidence

Research output: Contribution to journal › Article › peer-review

Subject classification (UKÄ)

@article{824ccddd49664bb0a973b73d3d10f992,

title = "Causal models versus reason models in Bayesian networks for legal evidence",

keywords = "Evidence, Bayesian network, Law, Causality, Reason, Prior probability, R{\"a}ttsvetenskap",

author = "Christian Dahlman and Eivind Kolflaath",

year = "2022",

doi = "10.1007/s11229-022-03953-y",

language = "English",

volume = "200",

journal = "Synthese",

issn = "1573-0964",

publisher = "Springer",

number = "477",

}

TY - JOUR

T1 - Causal models versus reason models in Bayesian networks for legal evidence

AU - Dahlman, Christian

AU - Kolflaath, Eivind

PY - 2022

Y1 - 2022

KW - Evidence

KW - Bayesian network

KW - Law

KW - Causality

KW - Reason

KW - Prior probability

KW - Rättsvetenskap

U2 - 10.1007/s11229-022-03953-y

DO - 10.1007/s11229-022-03953-y

M3 - Article

SN - 1573-0964

VL - 200

JO - Synthese

JF - Synthese

IS - 477

ER -