Building Bayesian networks for legal evidence with narratives: a case study evaluation

@article{Vlek2014BuildingBN,
  title={Building Bayesian networks for legal evidence with narratives: a case study evaluation},
  author={Charlotte S. Vlek and Henry Prakken and Silja Renooij and Bart Verheij},
  journal={Artificial Intelligence and Law},
  year={2014},
  volume={22},
  pages={375-421}
}
In a criminal trial, evidence is used to draw conclusions about what happened concerning a supposed crime. Traditionally, the three main approaches to modeling reasoning with evidence are argumentative, narrative and probabilistic approaches. Integrating these three approaches could arguably enhance the communication between an expert and a judge or jury. In previous work, techniques were proposed to represent narratives in a Bayesian network and to use narratives as a basis for systematizing… Expand
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References

SHOWING 1-10 OF 47 REFERENCES
Unfolding Crime Scenarios with Variations: A Method for Building a Bayesian Network for Legal Narratives
TLDR
The method of unfolding a scenario is intended to support the process of building a Bayesian network, additionally resulting in a well-structured graphical structure. Expand
Representing and Evaluating Legal Narratives with Subscenarios in a Bayesian Network
TLDR
The probabilistic technique of Bayesian networks is proposed as a method for modeling narrative, and it is shown how this can be used to capture a number of narrative properties. Expand
Modeling crime scenarios in a Bayesian network
TLDR
A method is proposed for modeling several scenarios in a single Bayesian network meant to assist a judge or jury, helping to maintain a good overview of the interactions between relevant variables in a case and preventing tunnel vision by comparing various scenarios. Expand
Inference and attack in Bayesian networks
TLDR
The automated extraction of rules, arguments and counter-arguments from Bayesian networks will facilitate the communication between lawyers and judges on the one hand and forensic experts on the other. Expand
A General Structure for Legal Arguments About Evidence Using Bayesian Networks
TLDR
This article describes a method for building useful legal arguments in a consistent and repeatable way and is based on the recognition that such arguments can be built up from a small number of basic causal structures (referred to as idioms). Expand
A hybrid formal theory of arguments, stories and criminal evidence
TLDR
It is argued that both arguments and narratives are relevant and useful in the reasoning with and interpretation of evidence, and a hybrid approach is proposed and formally developed, doing justice to both the argument-based and the narrative-based perspective. Expand
A General Structure for Legal Arguments Using Bayesian Networks
A Bayesian network (BN) is a graphical model of uncertainty that is especially well-suited to legal arguments. It enables us to visualise and model dependencies between different hypotheses andExpand
Legal idioms: a framework for evidential reasoning
TLDR
This paper outlines a novel framework for evidential reasoning using causal idioms based on the qualitative graphical component of Bayesian networks, and shows how the framework captures critical aspects of witness reliability, and the potential interrelations between witness reliabilities and other hypotheses and evidence. Expand
On extracting arguments from Bayesian network representations of evidential reasoning
TLDR
This position paper presents an investigation into the similarities, differences and synergies between Bayesian networks and argumentation diagrams and shows a first version of an algorithm to extract argumentations diagrams from Bayesian Networks. Expand
Explaining the evidence: Tests of the Story Model for juror decision making.
This research investigates the Story Model, Pennington and Hastie's (1986, 1988) explanationbased theory of decision making for juror decisions. In Experiment 1, varying the ease with which storiesExpand
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