Centen, Lennart (2021) Analysis of three hybrid methods for reasoning with evidence in probabilistic cases. Bachelor's Thesis, Artificial Intelligence.
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Abstract
In criminal cases, the goal of reasoning with evidence is to find out what underlying cause produced said evidence. However, this process of reasoning is prone to errors since one is only able to deduct the underlying cause from the observation of existing evidence. In order to identify faulty evidential reasoning, an analysis can be carried out. Three common ways of analysing reasoning with evidence in criminal cases are: probabilistic, argumentative and scenarios. These types can be combined to form hybrid methods. In this paper three hybrid methods are analyzed: Bex’s hybrid method of arguments and scenarios, Verheij’s case models and Vlek’s hybrid method of probability and scenarios. These three models are applied to a case study involving DNA evidence and compared to each other in order to seek out their strengths and weaknesses. It is found that the three hybrid methods do not exclude one another but should rather be used in conjunction with each other to get a more robust way of analysing evidential reasoning.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Verheij, H.B. |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 13 Aug 2021 12:12 |
| Last Modified: | 24 Aug 2021 09:08 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/25548 |
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