Measuring coherence with Bayesian networks.
An object of class bn.fit. Refer to the documentation of bnlearn for details.
A discrete Bayesian modelling a situation where equally reliable witnesses try to identify a criminal. Probabilities were given within the referenced paper. The vertices are:
Witness 1 report: Steve did it (True, False);
Witness 2 report: Steve did it (True, False);
Witness 3 report: Steve, Martin, or David did it (True, False);
Witness 4 report: Steve, John, or James did it (True, False);
Witness 5 report: Steve, John, or Peter did it (True, False);
Who is the criminal (Steve, Martin, David, John, James, Peter);
Kowalewska, A., & Urbaniak, R. (2023). Measuring coherence with Bayesian networks. Artificial Intelligence and Law, 31(2), 369-395.