Toward a computational theory of arguing with precedents
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Reasoning with portions of precedents
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Some direct theories of nonmonotonic inheritance
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
The Role of Logic in Computational Models of Legal Argument: A Critical Survey
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Extensionally defining principles and cases in ethics: an AI model
Artificial Intelligence - Special issue on AI and law
Predicting outcomes of case based legal arguments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
| Hi-index | 0.00 |
The purpose of this paper is to establish some connections between precedent-based reasoning as it is studied in the field of Artificial Intelligence and Law, particularly in the work of Ashley, and two other fields: deontic logic and nonmonotonic logic. First, a deontic logic is described that allows for sensible reasoning in the presence of conflicting norms. Second, a simplified version of Ashley's account of precedent-based reasoning is reformulated within the framework of this deontic logic. Finally, some ideas from the theory of nonmonotonic inheritance are employed to show how Ashley's account might be elaborated to allow for a richer representation of the process of argumentation.