Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Artificial Intelligence and Law - Online dispute resolution
Resolving crises through automated bilateral negotiations
Artificial Intelligence
Family_Mediator --Adding Notions of Fairness to Those of Interests
Proceedings of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference
Development of a mediation tool in Family Law: AssetDivider
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Asset negotiation and trade-off support within a multi-agent environment
HuCom '08 Proceedings of the 1st International Working Conference on Human Factors and Computational Models in Negotiation
Automated haggling: building artificial negotiators
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Using BATNAs and WATNAs in online dispute resolution
JSAI-isAI'09 Proceedings of the 2009 international conference on New frontiers in artificial intelligence
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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.