Predictions with uncertainty to support fair outcomes in online legal disputes

Title: Predictions with uncertainty to support fair outcomes in online legal disputes
Creator: Muecke, Nial
Date: 2006
Type: Text; Conference paper
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/35517
Identifier: vital:1493
Identifier: https://doi.org/10.1109/CIMCA.2006.164
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.; E1
Publisher: Sydney : IEEE
Relation: Paper presented at CIMCA 2006, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and International Commerce, Sydney : 29th November, 2006
Rights: Copyright IEEE
Rights: This metadata is freely available under a CCO license
Subject: Online; Legal issues
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