Groot, Yasmin de (2024) Modelling Criminal Fraud Cases in Bayesian Networks. Bachelor's Thesis, Artificial Intelligence.
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Abstract
This thesis examines the application of Bayesian networks in modelling criminal cases, evaluating the benefits and limitations of the scenario idiom in a new legal case. While earlier research has successfully applied these methods to murder cases, this study assesses their effectiveness in fraud cases. This research uses scenario-based Bayesian networks to analyse the Dotterbloem case, involving a former Ministry of Defence employee convicted of passive corruption and breach of secrecy. The findings highlight several benefits, including how scenario schemes provide guidance in the interactions of elements, as well as the ability to accommodate various forms of evidence. However, the study also identifies limitations, including challenges in merging different narratives and determining accurate prior probabilities.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Leeuwen, L.S. van and Verheij, H.B. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 09 Jul 2024 08:20 |
| Last Modified: | 09 Jul 2024 08:20 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/33147 |
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