Incorporating Issues of Fairness into Development of a Multi-Agent Negotiation Support System

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Zeleznikow, John and Abrahams, Brooke (2009) Incorporating Issues of Fairness into Development of a Multi-Agent Negotiation Support System. In: 12th International Conference on Artificial Intelligence and Law. Hafner, Carole D, ed. ACM, New York, pp. 177-184.

Abstract

One of the major concerns raised by people using Negotiation Support Systems is about the fairness of the process. Individuals undertake negotiation to derive better outcomes than could be obtained from conflict and litigation. Thus they often engage in interest based negotiation. But interest based negotiation focuses upon the interests of disputants rather than upon objective measures of fairness or justice. For example in family law, differences in power between men and women may lead to negotiated results that favor men. Bargaining imbalances can thus produce unfair results unless mediators or Negotiation Support Systems overcome them. It is thus vital to incorporate measures to address fairness in the development of Negotiation Support Systems. The paper describes the development of a multi-agent based Negotiation Support System designed to assist disputants to achieve legally fairer negotiated outcomes. The system uses a Bayesian Belief Network and Artificial Intelligence techniques to incorporate Best Alternatives to Negotiated Agreements into an integrative bargaining process. Through this system, we aim to demonstrate how principles of legal fairness can be applied in Australian Family Law. 8th - 12th June 2009 held at the Institute of Law and Technology, Autonomous University of Barcelona

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Additional Information
Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/5894
DOI https://doi.org/10.1145/1568234.1568254
Official URL http://dl.acm.org/ft_gateway.cfm?id=1568254&ftid=6...
ISBN 1605585970, 9781605585970
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 1801 Law
Historical > Faculty/School/Research Centre/Department > School of Management and Information Systems
Historical > SEO Classification > 9404 Justice and the Law
Keywords ResPubID17955, BATNA, best alternative to a negotiated agreement, game theory, Adjusted Winner algorithm, negotiation support system, Smartsettle, Family_Winner, JADE, agent management system, AMS
Citations in Scopus 3 - View on Scopus
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