Eivind Kolflaath
Biographic Data
| ID | 5995139 |
|---|---|
| NAME | Eivind Kolflaath |
| GIVEN NAMES | Eivind |
| FAMILY NAME | Kolflaath |
| SIGNATURE | KOLFLAATH E |
| AFFILIATIONS | University of Bergen |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Causal models versus reason models in Bayesian networks for legal evidence
In 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 …
Relative plausibility and a prescriptive theory of evidence assessment
While the theory of relative plausibility is presented by Allen and Pardo (2019) as a descriptive theory of the proof process, this commentary discusses their theory as a possible starting point for a prescriptive theory of evidence assessment. Generally, naturalness and simplicity are necessary for the success of such a theory. The theory of relative plausibility is very promising in this respect, as its key concept is the straightforward and in…
Relative plausibility and a prescriptive theory of evidence assessment
While the theory of relative plausibility is presented by Allen and Pardo (2019) as a descriptive theory of the proof process, this commentary discusses their theory as a possible starting point for a prescriptive theory of evidence assessment. Generally, naturalness and simplicity are necessary for the success of such a theory. The theory of relative plausibility is very promising in this respect, as its key concept is the straightforward and in…
Relative plausibility and a prescriptive theory of evidence assessment
While the theory of relative plausibility is presented by Allen and Pardo (2019) as a descriptive theory of the proof process, this commentary discusses their theory as a possible starting point for a prescriptive theory of evidence assessment. Generally, naturalness and simplicity are necessary for the success of such a theory. The theory of relative plausibility is very promising in this respect, as its key concept is the straightforward and in…
Causal models versus reason models in Bayesian networks for legal evidence
In 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 …
Epistemology (2 works) · Jury Decision Making Processes (2 works) · Law, Economics, and Judicial Systems (2 works) · Mathematics (2 works) · Philosophy (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian inference (1 work) · Bayesian Modeling and Causal Inference (1 work) · Bayesian network (1 work)