The British Nationality Act as a logic program
Communications of the ACM
Explanation for an expert system that performs estate planning
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
A case-based system for trade secrets law
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Ashley,K. D.-But, see, accord: generating blue book citations in HYPO
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
Modelling legal argument: reasoning with cases and hypotheticals
Modelling legal argument: reasoning with cases and hypotheticals
An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Toward a computational theory of arguing with precedents
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Dimension-based analysis of hypotheticals from supreme court oral argument
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
The design of an attorney's statistical consultant
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
A design for reasoning with policies, precedents, and rationales
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Legal knowledge acquisition using case-based reasoning and model inference
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Dialectic semantics for argumentation frameworks
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Improving Hazard Classification through the Reuse of Descriptive Arguments
ICSR-7 Proceedings of the 7th International Conference on Software Reuse: Methods, Techniques, and Tools
Activating CBR Systems Through Autonomous Information Gathering
ICCBR '99 Proceedings of the Third International Conference on Case-Based Reasoning and Development
Law, learning and representation
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
IEEE Intelligent Systems
An integrated approach to bioprocess recipe design
Integrated Computer-Aided Engineering
Representational complexity in law
Proceedings of the 11th international conference on Artificial intelligence and law
Conceptual Neighborhoods for Retrieval in Case-Based Reasoning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Law and the semantic web, an introduction
Law and the Semantic Web
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
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Hypo, a computer program that performs case-based reasoning in the legal domain, helps attorneys analyze and make arguments about new fact situations in terms of the most relevant precedent cases. To perform this task, Hypo must make factual comparisons of cases relative to the problem situation and determine the legal significance of comparisons in terms of arguments about the problem situation. The authors describe techniques that Hypo uses to compare cases, choose the best cases for evaluating, and construct arguments about a new fact situation. They demonstrate how Hypo critically compares a problem situation to the most relevantly similar precedent cases to outline an argument regarding how to decide the current fact situation (CFS) based on its significant similarities to and differences from most on point cases (MOPCS). Hypo's main tool for this task is the claim lattice mechanism. The authors present a detailed example of a claim lattice actually generated by Hypo to analyze a real legal case.