The British Nationality Act as a logic program
Communications of the ACM
KARDIO: a study in deep and qualitative knowledge for expert systems
KARDIO: a study in deep and qualitative knowledge for expert systems
Separating world and regulation knowledge: where is the logic
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Representing teleological structure in case-based legal reasoning: the missing link
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
The Pleadings Game: an exercise in computational dialectics
Artificial Intelligence and Law
An implementation of Eisner v. Macomber
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
A model of legal reasoning with cases incorporating theories and values
Artificial Intelligence - Special issue on AI and law
Try to see it my way: modelling persuasion in legal discourse
Artificial Intelligence and Law
Arguing about cases as practical reasoning
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
AGATHA: automated construction of case law theories through heuristic search
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Legal Theory, Sources of Law and the Semantic Web
Proceedings of the 2009 conference on Legal Theory, Sources of Law and the Semantic Web
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In this paper we use our previous work which has examined the different levels involved in reasoning about legal cases to examine some challenges to the relevance of current theoretical work in AI and Law made by Branting. In our model we view the process of legal reasoning as being divided into three distinct but interconnected levels of reasoning. These levels involve a bottom layer concerning facts about the world, a top layer concerning legal consequences, and a layer connecting the two, with conclusions at lower levels acting as premises for higher levels. We use our model to explain Branting's observations and show the relation with other strands of work from the AI and Law community.