Modelling legal argument: reasoning with cases and hypotheticals
Modelling legal argument: reasoning with cases and hypotheticals
The structure-mapping engine: algorithm and examples
Artificial Intelligence
CABARET: rule interpretation in a hybrid architecture
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
Representing teleological structure in case-based legal reasoning: the missing link
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Case-based reasoning
Machine Learning
Reasoning with Reasons in Case-Based Comparisons
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
A reduction-graph model of precedent in legal analysis
Artificial Intelligence - Special issue on AI and law
A model of legal reasoning with cases incorporating theories and values
Artificial Intelligence - Special issue on AI and law
Extensionally defining principles and cases in ethics: an AI model
Artificial Intelligence - Special issue on AI and law
Artificial Intelligence - Special issue on AI 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
Argumentation and standards of proof
Proceedings of the 11th international conference on Artificial intelligence and law
Ontologies and reasoning techniques for (legal) intelligent information retrieval systems
Artificial Intelligence and Law
An ontology in OWL for legal case-based reasoning
Artificial Intelligence and Law
A Process Model of Legal Argument with Hypotheticals
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Pierson vs. Post RevisitedA Reconstruction using the Carneades Argumentation Framework
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Similarity, precedent and argument from analogy
Artificial Intelligence and Law
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Ontology framework for judgment modelling
AICOL'11 Proceedings of the 25th IVR Congress conference on AI Approaches to the Complexity of Legal Systems: models and ethical challenges for legal systems, legal language and legal ontologies, argumentation and software agents
Using event progression to enhance purposive argumentation in the value judgment formalism
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
| Hi-index | 0.00 |
In 1993, Berman and Hafner criticized case-based models of legal reasoning for not modeling analogical and teleological elements. Another lesson learned since then is the role of ontologies in representing domain knowledge so that a legal reasoning system can represent and solve problems. If the reasoning involves drawing abstract analogies, reasoning teleologically about rules for deciding a case, and posing hypothetical cases to test decision rules, however, it is not clear what requirements the ontology should satisfy. This paper presents an extended example of such legal reasoning to illustrate what an ontology for case-based legal reasoning should provide. The example centers on a microworld of legal discourse, an ensemble of real legal cases, hypothetical examples, concepts, factors, principles and policies. Beginning with any case in the microworld, the system's goal is to generate arguments that a law professor and students might reasonably make in discussing the legal case in class. The example illustrates three roles the ontology should play in providing representational support for the system, distills the ontological requirements, and suggests an incremental approach to making good on Berman's and Hafner's challenge.