Machine learning for intelligent support of conflict resolution
Decision Support Systems
Negoplan: An Expert System Shell for Negotiation Support
IEEE Expert: Intelligent Systems and Their Applications
A Comparative Study of Negotiation Decision Support Systems
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences - Volume 1
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Information Systems Track-Collaboration Systems and Technology - Volume 2
Artificial Intelligence and Law - Online dispute resolution
Incorporating issues of fairness into development of a multi-agent negotiation support system
Proceedings of the 12th International Conference on Artificial Intelligence and Law
A Multi-agent Negotiation Decision Support System for Australian Family Law
Proceedings of the 2010 conference on Bridging the Socio-technical Gap in Decision Support Systems: Challenges for the Next Decade
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
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This article describes research in developing a new theory of decision support in negotiation in family law mediation. AssetDivider was based on the principles of Family_Winner. As a Negotiation Decision Support System Family_Winner take ratings assigned to items by the parties involved and develops a list of allocations to each party; based on trade-offs inherently present in the dispute. Given advice provided from our industry partners Relationships Australia (Queensland) --RAQ, AssetDivider uses an ideal “percentage split” to guide the development of an allocation list for parties. The system has been tested informally by our contacts at RAQ, and we now look forward to extensive testing and evaluation by mediators at RAQ in the near future. We expect observations and comments made by mediators evaluating the system to indicate future developments, in particular in developing new research into emotionally intelligent NDSS.