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Erschienen in:
2005 | OriginalPaper | Buchkapitel
CAUSATI O NT : Modeling Causation in AI&Law
verfasst von : Jos Lehmann, Joost Breuker, Bob Brouwer
Erschienen in: Law and the Semantic Web
Verlag: Springer Berlin Heidelberg
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Reasoning about causation in fact is an essential element of attributing legal responsibility. Therefore, the automation of the attribution of legal responsibility requires a modelling effort aimed at the following: a thorough understanding of the relation between the legal concepts of responsibility and of causation in fact; a thorough understanding of the relation between causation in fact and the common sense concept of causation; and, finally, the specification of an ontology of the concepts that are minimally required for (automatic) common sense reasoning about causation. This article offers a worked out example of the indicated analysis, which comprises: a definition of the legal concept of responsibility; a definition of the legal concept of causation in fact; CausatiOnt, an AI-like ontology of the common sense (causal) concepts that are minimally needed for reasoning about the legal concept of causation in fact.