Scenario-based Bayesian networks for legal evidence
Abstract The paper explores how the construction of Bayesian networks for legal evidence can be assisted by scenario models, especially how spatio-temporal constraints can be transferred from scenario models to Bayesian models. The paper introduces two new methods for constructing scenario-based Bayesian networks: non-Boolean time-nodes with event-states and non-Boolean event-nodes with time-states .
