Adaptive, Confidence-Based Multiagent Negotiation Strategy
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Optimal Negotiation of Multiple Issues in Incomplete Information Settings
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Towards Genetically Optimised Multi-Agent Multi-Issue Negotiations
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 1 - Volume 01
Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
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In this paper, we propose a threshold adjusting mechanismin complex negotiations among software agents. The mechanism reduces computational complexity to find agreements that produce higher social welfare. Multi-issue negotiation protocols have been studied widely and represent a promising field since most negotiation problems in the real world involve interdependent multiple issues. We have proposed negotiation protocols where a bidding-based mechanism is used to find social-welfare maximizing deals. The threshold adjusting mechanism proposed here reduces the number of candidate bids. The preliminary experimental results show that the threshold adjusting mechanism can reduce the computational cost while keeping enough optimality.