Explores new methods to enhance Bayesian networks for legal evidence using scenario models, implying advancements in legal reasoning.
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 .
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Dahlman et al. (2026) studied this question.
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