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 .
Authors
- Hylke Jellema (ORCID: https://orcid.org/0000-0003-1155-5581)
- Christian Dahlman
Institutions
- University of Groningen (NL)
- Lund University (SE)
- Utrecht University (NL)
Publication Details
- Journal
- Artificial Intelligence and Law
- Published
- 2026-05-23
- DOI
- https://doi.org/10.1007/s10506-026-09522-9
- Primary Topic
- Bayesian Modeling and Causal Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Lunds Universitet