Searching for fair joint gains in agent-based negotiation
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
mCP nets: representing and reasoning with preferences of multiple agents
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Journal of Artificial Intelligence Research
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Empirical evidence suggests that self-interested agents often fail to reach optimal agreements in multi-issue negotiations. Most existing negotiation approaches either do not address fairness issues; or do not consider computational concerns. To address these problems, the aim of this research is to investigate negotiation techniques, introducing efficient mediation approaches to support multi-issue, multi-agent negotiations with optimal and fair outcomes under incomplete information setting.