An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Building explanations from rules and structured cases
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
CABARET: rule interpretation in a hybrid architecture
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
Essentials of artificial intelligence
Essentials of artificial intelligence
Case-based reasoning
Training algorithms for linear text classifiers
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Precedent, deontic logic, and inheritance
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Maintaining knowledge about temporal intervals
Communications of the ACM
Introducing PETE: computer support for teaching ethics
Proceedings of the 8th international conference on Artificial intelligence and law
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Information Retrieval
Massively Parallel Support for Case-Based Planning
IEEE Expert: Intelligent Systems and Their Applications
Reasoning with Reasons in Case-Based Comparisons
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
Assessing Relevance with Extensionally Defined Principles and Cases
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
The Structure of Mathematical Knowledge
The Structure of Mathematical Knowledge
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
Assessing the relevance of cases and principles using operationalization techniques
Assessing the relevance of cases and principles using operationalization techniques
Reasoning symbolically about partially matched cases
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
IEEE Intelligent Systems
Particularism and the Classification and Reclassification of Moral Cases
IEEE Intelligent Systems
Computational Models of Ethical Reasoning: Challenges, Initial Steps, and Future Directions
IEEE Intelligent Systems
Legal information retrieval and application to e-rulemaking
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Decision support for ethical problem solving: A multi-agent approach
Decision Support Systems
What's in a Cluster? Automatically Detecting Interesting Interactions in Student E-Discussions
ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Ontological requirements for analogical, teleological, and hypothetical legal reasoning
Proceedings of the 12th International Conference on Artificial Intelligence and Law
MedEthEx: a prototype medical ethics advisor
IAAI'06 Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2
CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Exploring creative thinking in graphically mediated synchronous dialogues
Computers & Education
Particularism, Analogy, and Moral Cognition
Minds and Machines
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
International Journal of Artificial Intelligence in Education
Similarity, precedent and argument from analogy
Artificial Intelligence and Law
Proceedings of the 13th International Conference on Artificial Intelligence and Law
The fun begins with retrieval: explanation and CBR
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Evaluating CBR systems using different data sources: a case study
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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Principles are abstract rules intended to guide decision-makers in making normative judgments in domains like the law, politics, and ethics. It is difficult, however, if not impossible to define principles in an intensional manner so that they may be applied deductively. The problem is the gap between the abstract, open-textured principles and concrete facts. On the other hand, when expert decision-makers rationalize their conclusions in specific cases, they often link principles to the specific facts of the cases. In effect, these expert-defined associations between principles and facts provide extensional definitions of the principles. The experts operationalize the abstract principles by linking them to the facts.This paper discusses research in which the following hypothesis was empirically tested: extensionally defined principles, as well as cited past cases, can help in predicting the principles and cases that might be relevant in the analysis of new cases. To investigate this phenomenon computationally, a large set of professional ethics cases was analyzed and a computational model called SIROCCO, a system for retrieving principles and past cases, was constructed. Empirical evidence is presented that the operationalization information contained in extensionally defined principles can be leveraged to predict the principles and past cases that are relevant to new problem situations. This is shown through an ablation experiment, comparing SIROCCO to a version of itself that does not employ operationalization information. Further, it is shown that SIROCCO's extensionally defined principles and case citations help it to outperform a full-text retrieval program that does not employ such information.