A Multi-agent Negotiation Decision Support System for Australian Family Law

Authors:
Brooke Abrahams;John Zeleznikow
Affiliations:
School of Management and Information System, Victoria University, Melbourne, Australia;School of Management and Information System, Victoria University, Melbourne, Australia
Venue:
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
Year:
2010

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Abstract

The paper describes the development of an integrated multi-agent negotiation decision support system designed to assist parties involved in Australian family law disputes achieve legally fairer negotiated outcomes. The system extends our previous work in developing negotiation support systems Family_Winner and AssetDivider. In this environment one agent uses a Bayesian Belief Network expertly modeled with knowledge of the Australian Family Law domain to advise disputants of their Best Alternatives to Negotiated Agreements via a percentage property split. Another agent incorporates this percentage split into an integrative bargaining process and applies heuristics and game theory to equitably distribute marital property assets and facilitate further trade-offs. The purpose of the system is to add greater fairness to family property law negotiations.