An ontology of physical causation as a basis for assessing causation in fact and attributing legal responsibility

Artificial Intelligence and Law 15 (3):301-321 (2007)
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Computational machineries dedicated to the attribution of legal responsibility should be based on (or, make use of) a stack of definitions relating the notion of legal responsibility to a number of suitably chosen causal notions. This paper presents a general analysis of legal responsibility and of causation in fact based on Hart and Honoré’s work. Some physical aspects of causation in fact are then treated within the “lite” version of DOLCE foundational ontology written in OWL-DL, a standard description logic for the Semantic Web.



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References found in this work

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
Causality.Judea Pearl - 2000 - New York: Cambridge University Press.
Causation in the Law.F. S. McNeilly - 1959 - Philosophy 37 (139):83-84.
Description Logic Handbook.Franz Baader (ed.) - 2003 - Cambridge University Press.

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