An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Modelling legal argument: reasoning with cases and hypotheticals
Modelling legal argument: reasoning with cases and hypotheticals
A language for legal Discourse I. basic features
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Understanding precedents in a temporal context of evolving legal doctrine
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Understanding Similarity: A Joint Project for Psychology,Case-Based Reasoning, and Law
Artificial Intelligence Review
Case law in extended argumentation frameworks
Proceedings of the 12th International Conference on Artificial Intelligence and Law
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This paper proposes a model of ration decidendi as a justification structure consisting of a series of reasoning steps, some of which relate abstract predicates to other abstract predicates and some of which relate abstract predicates to specific facts. This model satisfies four adequacy criteria for ratio decidendi identified from the jurisprudential literature. In particular, the model shows how the theory under which a case is decided controls its precedential effect. By contrast, a purely case-based model of ratio fails to account for the dependency of precedential effect on the theory of decision.