A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
Abstract argumentation systems
Artificial Intelligence
An abstract, argumentation-theoretic approach to default reasoning
Artificial Intelligence
Cognitive Carpentry: A Blueprint for how to Build a Person
Cognitive Carpentry: A Blueprint for how to Build a Person
Towards a formal account of reasoning about evidence: argumentation schemes and generalisations
Artificial Intelligence and Law - Law, logic and defeasibility
Formalising argumentative story-based analysis of evidence
Proceedings of the 11th international conference on Artificial intelligence and law
Representing narrative and testimonial knowledge in sense-making software for crime analysis
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Did he jump or was he pushed?: abductive practical reasoning
Artificial Intelligence and Law
Knowledge based crime scenario modelling
Expert Systems with Applications: An International Journal
On the issue of reinstatement in argumentation
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
Burdens and Standards of Proof for Inference to the Best Explanation
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
Legal shifts in the process of proof
Proceedings of the 13th International Conference on Artificial Intelligence and Law
A method for explaining and predicting trends: an application to the Dutch justice system
Proceedings of the 13th International Conference on Artificial Intelligence and Law
On extracting arguments from Bayesian network representations of evidential reasoning
Proceedings of the 13th International Conference on Artificial Intelligence and Law
An agent-based legal knowledge acquisition methodology for agile public administration
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Jumping to conclusions: a logico-probabilistic foundation for defeasible rule-based arguments
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
Modeling crime scenarios in a Bayesian network
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
Hi-index | 0.00 |
This paper presents a theory of reasoning with evidence in order to determine the facts in a criminal case. The focus is on the process of proof, in which the facts of the case are determined, rather than on related legal issues, such as the admissibility of evidence. In the literature, two approaches to reasoning with evidence can be distinguished, one argument-based and one story-based. In an argument-based approach to reasoning with evidence, the reasons for and against the occurrence of an event, e.g., based on witness testimony, are central. In a story-based approach, evidence is evaluated and interpreted from the perspective of the factual stories as they may have occurred in a case, e.g., as they are defended by the prosecution. In this paper, we argue that both arguments and narratives are relevant and useful in the reasoning with and interpretation of evidence. Therefore, a hybrid-approach is proposed and formally developed, doing justice to both the argument-based and the narrative-based perspective. By the formalization of the theory and the associated graphical representations, our proposal is the basis for the design of software developed as a tool to make sense of the evidence in complex cases.