C4.5: programs for machine learning
C4.5: programs for machine learning
A logical framework for modelling legal argument
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Neural networks and open texture
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Knowledge discovery in the Split Up project
Proceedings of the 6th international conference on Artificial intelligence and law
Fast algorithms for mining association rules
Readings in database systems (3rd ed.)
Toward adding knowledge to learning algorithms for indexing legal cases
ICAIL '99 Proceedings of the 7th international conference on Artificial intelligence and law
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A declarative approach to business rules in contracts: courteous logic programs in XML
Proceedings of the 1st ACM conference on Electronic commerce
Representation results for defeasible logic
ACM Transactions on Computational Logic (TOCL)
Automated negotiation from declarative contract descriptions
Proceedings of the fifth international conference on Autonomous agents
A formal approach to protocols and strategies for (legal) negotiation
Proceedings of the 8th international conference on Artificial intelligence and law
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
A Flexible Framework for Defeasible Logics
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
An Experiment in Discovering Association Rules in the Legal Domain
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
An algorithm for the induction of defeasible logic theories from databases
ADC '03 Proceedings of the 14th Australasian database conference - Volume 17
On the Analysis of Regulations using Defeasible Rules
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 6 - Volume 6
Propositional defeasible logic has linear complexity
Theory and Practice of Logic Programming
Learning extended logic programs
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Application of argument based machine learning to law
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
Argument based machine learning applied to law
Artificial Intelligence and Law - Argumentation in artificial intelligence and law
DR-Prolog: A System for Defeasible Reasoning with Rules and Ontologies on the Semantic Web
IEEE Transactions on Knowledge and Data Engineering
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Integrating induction and deduction for finding evidence of discrimination
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Arguing from Experience to Classifying Noisy Data
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Integrating induction and deduction for finding evidence of discrimination
Artificial Intelligence and Law
Argument schemes for reasoning with legal cases using values
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law
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Defeasible Logic is a promising representation for legal knowledge that appears to overcome many of the deficiencies of previous approaches to representing legal knowledge. Unfortunately, an immediate application of technology to the challenges of generating theories in the legal domain is an expensive and computationally intractable problem. So, in light of the potential benefits, we seek to find a practical algorithm that uses heuristics to discover an approximate solution. As an outcome of this work, we have developed an algorithm that integrates defeasible logic into a decision support system by automatically deriving its knowledge from databases of precedents. Experiments with the new algorithm are very promising -- delivering results comparable to and exceeding other approaches.