Justismord, lov og litteratur - En fortelling om mislykket tverrfaglighet
In: Nytt norsk tidsskrift, Band 33, Heft 1-2, S. 145-157
ISSN: 1504-3053
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In: Nytt norsk tidsskrift, Band 33, Heft 1-2, S. 145-157
ISSN: 1504-3053
In: Synthese: an international journal for epistemology, methodology and philosophy of science, Band 200, Heft 6
ISSN: 1573-0964
AbstractIn this paper we compare causal models with reason models in the construction of Bayesian networks for legal evidence. In causal models, arrows in the network are drawn from causes to effects. In a reason model, the arrows are instead drawn towards the evidence, from factum probandum to factum probans. We explore the differences between causal models and reason models and observe several distinct advantages with reason models. Reason models are better aligned with the philosophy of Bayesian inference, as they model reasons for up-dating beliefs. Reason models are better suited for measuring the combined support of the evidence, and a prior probability of guilt that reflects the number of possible perpetrators is accommodated more easily with reason models.
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