Modeling and Reasoning with Bayesian Networks
Modeling and Reasoning with Bayesian Networks
Facing the challenge of human-agent negotiations via effective general opponent modeling
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
An analysis of feasible solutions for multi-issue negotiation involving nonlinear utility functions
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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
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The paper describes the development of an integrated multi-agent online dispute resolution environment called IMODRE that was 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 by way of 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.