Mellema, R. (2015) Modelling a Murder Case in Probability Theory. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Reasoning with evidence is an important task that most humans engage in on a daily basis. It is especially important in criminal trials, because the lives of humans are at stake here. For this kind of reasoning, three approaches of modelling evidential reasoning are used: the argumentative, narrative and probabilistic approaches. A new method for integrating these three approaches was proposed by Verheij (2014). In this paper, the method is tested using a case study of the Anjum murders, a Dutch murder case. It is also compared to a Bayesian ap- proach of Vlek et al. (2014) for evidential reasoning. The new method could model the case compara- tively to Vlek et al. (2014).
Item Type: | Thesis (Bachelor's Thesis) |
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Degree programme: | Artificial Intelligence |
Thesis type: | Bachelor's Thesis |
Language: | English |
Date Deposited: | 15 Feb 2018 08:05 |
Last Modified: | 15 Feb 2018 08:05 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/13027 |
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