An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
A language for legal Discourse I. basic features
ICAIL '89 Proceedings of the 2nd international conference on Artificial intelligence and law
Representations of commonsense knowledge
Representations of commonsense knowledge
Requiem for a theory: the “story grammar” story
Journal of Experimental & Theoretical Artificial Intelligence
Building explanations from rules and structured cases
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
Integrating rules and precedents for classification and explanation: automating legal analysis
Integrating rules and precedents for classification and explanation: automating legal analysis
An implementation of Eisner v. Macomber
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Legal merit arguments, legal semiotics and the design of legal knowledge-based systems
Proceedings of the 6th international conference on Artificial intelligence and law
A New Algorithm for Error-Tolerant Subgraph Isomorphism Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Similarity Measures for Object-Oriented Case Representations
EWCBR '98 Proceedings of the 4th European Workshop on Advances in Case-Based Reasoning
"Fish and Sink" - An Anytime-Algorithm to Retrieve Adequate Cases
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
A reduction-graph model of precedent in legal analysis
Artificial Intelligence - Special issue on AI and law
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Effective case-based reasoning in complex domains requires a representation that strikes a balance between expressiveness and tractability. For cases in temporal domains, formalization of event transitions in a narrative grammar can simplify both the user's task of problem formulation and the system's indexing, matching, and adaptation tasks without compromising expressiveness. This paper sets forth a model of temporal cases based on narrative grammars, demonstrates its applicability to several different domains, distinguishes two different similarity metrics—sequence overlap and tree overlap—and shows how the choice between these metrics depends on whether nonterminals in the narrative grammar correspond to abstract domain states or merely represent constraints on event transitions. The paper shows basic-level and legal-event narrative grammars can be used together to model how human lawyers interleave fact elicitation and analysis.