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

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Scenario-based Bayesian networks for legal evidence

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月23日

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  • Christian Dahlman,
  • Hylke Jellema

摘要

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.