A hybrid rule – neural approach for the automation of legal reasoning in the discretionary domain of family law in australia
Artificial Intelligence and Law 7 (2-3):153-183 (1999)
|Abstract||Few automated legal reasoning systems have been developed in domains of law in which a judicial decision maker has extensive discretion in the exercise of his or her powers. Discretionary domains challenge existing artificial intelligence paradigms because models of judicial reasoning are difficult, if not impossible to specify. We argue that judicial discretion adds to the characterisation of law as open textured in a way which has not been addressed by artificial intelligence and law researchers in depth. We demonstrate that systems for reasoning with this form of open texture can be built by integrating rule sets with neural networks trained with data collected from standard past cases. The obstacles to this approach include difficulties in generating explanations once conclusions have been inferred, difficulties associated with the collection of sufficient data from past cases and difficulties associated with integrating two vastly different paradigms. A knowledge representation scheme based on the structure of arguments proposed by Toulmin has been used to overcome these obstacles. The system, known as Split Up, predicts judicial decisions in property proceedings within family law in Australia. Predictions from the system have been compared to those from a group of lawyers with favourable results.|
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Daniéle Bourcier & Gérard Clergue (1999). From a Rule-Based Conception to Dynamic Patterns. Analyzing the Self-Organization of Legal Systems. Artificial Intelligence and Law 7 (2-3):211-225.
John Zeleznikow, George Vossos & Daniel Hunter (1993). The IKBALS Project: Multi-Modal Reasoning in Legal Knowledge Based Systems. [REVIEW] Artificial Intelligence and Law 2 (3):169-203.
Dan Hunter (1999). Out of Their Minds: Legal Theory in Neural Networks. [REVIEW] Artificial Intelligence and Law 7 (2-3):129-151.
Lothar Philipps & Giovanni Sartor (1999). Introduction: From Legal Theories to Neural Networks and Fuzzy Reasoning. [REVIEW] Artificial Intelligence and Law 7 (2-3):115-128.
Barbara Cuthill & Robert McCartney (1993). Issue Spotting in CHASER. Artificial Intelligence and Law 2 (2):83-111.
Neil MacCormick (2005). Rhetoric and the Rule of Law: A Theory of Legal Reasoning. Oxford University Press.
John Zeleznikow (2002). An Australian Perspective on Research and Development Required for the Construction of Applied Legal Decision Support Systems. Artificial Intelligence and Law 10 (4):237-260.
Jaap C. Hage, Ronald Leenes & Arno R. Lodder (1993). Hard Cases: A Procedural Approach. [REVIEW] Artificial Intelligence and Law 2 (2):113-167.
Scott Shapiro (2011). Legality. Harvard University Press.
Added to index2009-01-28
Total downloads5 ( #169,941 of 722,826 )
Recent downloads (6 months)0
How can I increase my downloads?