Induction of defeasible logic theories in the legal domain

Johnston, Benjamin and Governatori, Guido (2003). Induction of defeasible logic theories in the legal domain. In: Giovanni Sartor, Proceedings of the 9th International Conference on Artificial Intelligence and Law. Proceedings of the 9th International Conference on Artificial Intelligence and Law (ICAIL-03), Edinburgh, Scotland, (204-213). 24 - 28 June 2003. doi:10.1145/1047788.1047834

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Author Johnston, Benjamin
Governatori, Guido
Title of paper Induction of defeasible logic theories in the legal domain
Conference name Proceedings of the 9th International Conference on Artificial Intelligence and Law (ICAIL-03)
Conference location Edinburgh, Scotland
Conference dates 24 - 28 June 2003
Proceedings title Proceedings of the 9th International Conference on Artificial Intelligence and Law
Journal name Proceedings of the International Conference on Artificial Intelligence and Law
Place of Publication New York, U.S.A.
Publisher ACM Press
Publication Year 2003
Sub-type Fully published paper
DOI 10.1145/1047788.1047834
Open Access Status File (Author Post-print)
ISBN 1-58113-747-8
Editor Giovanni Sartor
Start page 204
End page 213
Total pages 10
Language eng
Abstract/Summary The market for intelligent legal information systems remains relatively untapped and while this might be interpreted as an indication that it is simply impossible to produce a system that satisfies the needs of the legal community, an analysis of previous attempts at producing such systems reveals a common set of deficiencies that in-part explain why there have been no overwhelming successes to date. Defeasible logic, a logic with proven successes at representing legal knowledge, seems to overcome many of these deficiencies and is a promising approach to representing legal knowledge. Unfortunately, an immediate application of technology to the challenges in this domain is an expensive and computationally intractable problem. So, in light of the 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.
Subjects 380305 Knowledge Representation and Machine Learning
280109 Decision Support and Group Support Systems
280111 Conceptual Modelling
390302 Jurisprudence and Legal Theory
280207 Pattern Recognition
280100 Information Systems
Keyword Data mining
Legal reasoning
Defeasible logic
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Unknown

 
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Created: Mon, 11 Apr 2005, 10:00:00 EST by Guido Governatori on behalf of School of Information Technol and Elec Engineering