Artificial Intelligence and Law 15 (3):301-321 (2007)

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Abstract
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.
Keywords causation in fact  formal ontology  legal responsibility  physical causation
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DOI 10.1007/s10506-007-9035-3
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References found in this work BETA

Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Cambridge University Press.
Causality.Judea Pearl - 2000 - Cambridge University Press.
Causation in the Law.F. S. McNeilly - 1959 - Philosophy 37 (139):83-84.
Causation in the Law.F. S. McNeilly - 1962 - Philosophical Quarterly 12 (46):92-94.

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Citations of this work BETA

Commonsense Causal Explanation in a Legal Domain.Rinke Hoekstra & Joost Breuker - 2007 - Artificial Intelligence and Law 15 (3):281-299.
Norms and Plans as Unification Criteria for Social Collectives.Aldo Gangemi - 2008 - Journal of Autonomous Agents and Multi-Agent Systems 16 (3).

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