Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments.
Remi WietenFloris BexHenry PrakkenSilja RenooijPublished in: JURIX (2018)
Keyphrases
- bayesian networks
- causal relationships
- structural learning
- legal argument
- legal cases
- practical reasoning
- supreme court
- graph mining
- argumentation schemes
- graph matching
- legal reasoning
- graphical models
- probabilistic inference
- directed graph
- legal knowledge
- bayesian network inference
- incomplete data
- conditional independence
- case law
- causal knowledge
- argumentation frameworks
- hypothetical reasoning
- legal documents
- inference in bayesian networks
- structure learning
- graph databases
- bipartite graph
- missing data
- probabilistic model