An artificial intelligence approach to legal reasoning
An artificial intelligence approach to legal reasoning
Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Expert systems and ICAI in tax law: killing two birds with one AI stone
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
Reasoning with cases and hypotheticals in HYPO
International Journal of Man-Machine Studies - AI and legal reasoning. Part 1
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
Incorporating procedural context into a model of case-based legal reasoning
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
Representing teleological structure in case-based legal reasoning: the missing link
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
LITES, an intelligent tutoring system for legal problem solving in the domain of Dutch Civil law
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Case-based reasoning
New HELIC-II: a software tool for legal reasoning
ICAIL '95 Proceedings of the 5th international conference on Artificial intelligence and law
Evaluating a learning environment for case-based argumentation skills
Proceedings of the 6th international conference on Artificial intelligence and law
Adaptation-guided retrieval: questioning the similarity assumption in reasoning
Artificial Intelligence
Theory based explanation of case law domains: 38
Proceedings of the 8th international conference on Artificial intelligence and law
Improving the representation of legal case texts with information extraction methods
Proceedings of the 8th international conference on Artificial intelligence and law
A typology of moves involved in case comparison
Proceedings of the 8th international conference on Artificial intelligence and law
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Modeling Legal Arguments: Reasoning with Cases and Hypotheticals
Machine Learning
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
On Comparing Classifiers: Pitfalls toAvoid and a Recommended Approach
Data Mining and Knowledge Discovery
Supporting Start-to-Finish Development of Knowledge Bases
Machine Learning
On the Role of Abstraction in Case-Based Reasoning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
How Different Is Different? Arguing About the Significance of Similarities and Differences
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Reasoning with Reasons in Case-Based Comparisons
ICCBR '95 Proceedings of the First International Conference on Case-Based Reasoning Research and Development
The Evaluation of a Hierachical Case Representation Using Context Guided Retrieval
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Stratified Case-Based Reasoning in Non-Refinable Abstraction Hierarchies
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Solution-Relevant Abstractions Constrain Retrieval and Adaptation
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Example Explanation in Learning Environments
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Using Case-Based Reasoning for Exercise Design in Simulation-Based Training
ITS '96 Proceedings of the Third International Conference on Intelligent Tutoring Systems
Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic Explanations
ITS '02 Proceedings of the 6th International Conference on Intelligent Tutoring Systems
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
Reasoning symbolically about partially matched cases
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Stratified case-based reasoning: reusing hierarchical problem solving episodes
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Predicting outcomes of case based legal arguments
ICAIL '03 Proceedings of the 9th international conference on Artificial intelligence and law
IEEE Intelligent Systems
Helping law students to understand US Supreme Court oral arguments: a planned experiment
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Generating legal arguments and predictions from case texts
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
The integration of narrative and argumentation for a scenario based learning environment in law
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Learning by diagramming Supreme Court oral arguments
Proceedings of the 11th international conference on Artificial intelligence and law
Argument diagramming in logic, law and artificial intelligence
The Knowledge Engineering Review
Applying Web 2.0 Design Principles in the Design of Cooperative Applications
CDVE '08 Proceedings of the 5th international conference on Cooperative Design, Visualization, and Engineering
Principle-based dispute resolution for consumer protection
Knowledge-Based Systems
Toward supporting hypothesis formation and testing in an interpretive domain
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Study on the Structure of Argumentation in Case Law
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Ontological requirements for analogical, teleological, and hypothetical legal reasoning
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Progress in textual case-based reasoning: predicting the outcome of legal cases from text
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Artificial Intelligence in Medicine
Automatically classifying case texts and predicting outcomes
Artificial Intelligence and Law
Hybrid model for learner modelling and feedback prioritisation in exploratory learning
International Journal of Hybrid Intelligent Systems - CIMA-08
Teaching a process model of legal argument with hypotheticals
Artificial Intelligence and Law
Combining case-based and model-based reasoning for predicting the outcome of legal cases
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Concepts, Structures, and Goals: Redefining Ill-Definedness
International Journal of Artificial Intelligence in Education
International Journal of Artificial Intelligence in Education
Application of an ontology-based model to a selected fraudulent disbursement economic crime
AICOL-I/IVR-XXIV'09 Proceedings of the 2009 international conference on AI approaches to the complexity of legal systems: complex systems, the semantic web, ontologies, argumentation, and dialogue
RuleML'10 Proceedings of the 2010 international conference on Semantic web rules
A Legal Decision Support Guide for Owners Corporation Cases
Proceedings of the 2010 conference on Legal Knowledge and Information Systems: JURIX 2010: The Twenty-Third Annual Conference
Facilitating case comparison using value judgments and intermediate legal concepts
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Modeling authority commitments in two search and seizure cases
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Assessing plausibility of explanation and meta-explanation in inter-human conflicts
Engineering Applications of Artificial Intelligence
ICCBR'05 Proceedings of the 6th international conference on Case-Based Reasoning Research and Development
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Knowledge representation for the intelligent legal case retrieval
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
The fun begins with retrieval: explanation and CBR
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
Toward legal argument instruction with graph grammars and collaborative filtering techniques
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
User behaviour-driven group formation through case-based reasoning and clustering
Expert Systems with Applications: An International Journal
Using case-based tests to detect gray cygnets
ICCBR'11 Proceedings of the 19th international conference on Case-Based Reasoning Research and Development
Using event progression to enhance purposive argumentation in the value judgment formalism
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
Ontological modeling of a class of linked economic crimes
Transactions on Computational Collective Intelligence IX
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Researchers in the field of AI and Law have developed a number of computational models of the arguments that skilled attorneys make based on past cases. However, these models have not accounted for the ways that attorneys use middle-level normative background knowledge (1) to organize multi-case arguments, (2) to reason about the significance of differences between cases, and (3) to assess the relevance of precedent cases to a given problem situation. We present a novel model, that accounts for these argumentation phenomena. An evaluation study showed that arguments about the significance of distinctions based on this model help predict the outcome of cases in the area of trade secrets law, confirming the quality of these arguments. The model forms the basis of an intelligent learning environment called CATO, which was designed to help beginning law students acquire basic argumentation skills. CATO uses the model for a number of purposes, including the dynamic generation of argumentation examples. In a second evaluation study, carried out in the context of an actual legal writing course, we compared instruction with CATO against the best traditional legal writing instruction. The results indicate that CATO's example-based instructional approach is effective in teaching basic argumentation skills. However, a more "integrated" approach appears to be needed if students are to achieve better transfer of these skills to more complex contexts. CATO's argumentation model and instructional environment are a contribution to the research fields of AI and Law, Case-Based Reasoning, and AI and Education.