DocumentCode
3100926
Title
Predictions with Uncertainty to Support Fair Outcomes in Online Legal Disputes
Author
Muecke, Nial
Author_Institution
Sch. of Inf. & Math. Sci., Univ. of Ballarat, Ballarat, VIC
fYear
2006
fDate
Nov. 28 2006-Dec. 1 2006
Firstpage
218
Lastpage
218
Abstract
Alternative dispute resolutions systems are not uncommon in Australian family law, however to date these systems are largely negotiation based and are not designed for producing judicially fair outcomes. This paper proposes an online dispute resolution approach that aims to support divorcees to resolve property issues in a manner that is consistent with orders a judge would make if the matter was heard in court. The approach integrates a protocol for online dispute dialogue with an argument based model of judicial reasoning to structure the dispute. The likelihood of alternates outcomes is predicted with a series of Bayesian belief networks.
Keywords
Bayes methods; law; Australian family law; Bayesian belief networks; argument based model; judicial reasoning; online dispute dialogue; online dispute resolution approach; online legal disputes; Australia; Bayesian methods; Computational intelligence; Intelligent systems; Knowledge based systems; Law; Legal factors; Predictive models; Protocols; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
0-7695-2731-0
Type
conf
DOI
10.1109/CIMCA.2006.164
Filename
4052833
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