Introduction to artificial intelligence
Introduction to artificial intelligence
An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Conceptual organization of case law knowledge bases
ICAIL '87 Proceedings of the 1st international conference on Artificial intelligence and law
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
Reasoning with portions of precedents
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Situation analysis, precedent retrieval and cross-context reminding in case-based reasoning
Situation analysis, precedent retrieval and cross-context reminding in case-based reasoning
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Within the letter of the law: open-textured planning
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
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For any system that uses previous experience to solve problems in new situations, it is necessary to identify the features in the situation that should match features in the previous cases through some process of situation analysis. In this paper, we examine as issue spotting; in particular, we present how issues spotting is implemented in CHASER, a legal reasoning system that works in the domain of tort law.The approach presented here is a compromise between generality and efficiency, and is applicable to a range of problems and domains outside of legal reasoning. In particular, it presents a principled way to use multiple cases for a single problem by exploiting the inherent structure present in many domains.