Automated negotiation techniques can greatly improve the negotiation efficiency and quality of our human being, and a lot of automated negotiation strategies and mechanisms have been proposed in different negotiation scenarios until now. To achieve efficient negotiation, there are two major challenges we are usually faced with: how to model and predict the strategy and preference of the opponent. To this end we propose an adaptive negotiating strategy (CUHKAgent) to predict the opponent’s strategy and preference at a high level, and make informed decision accordingly.
CITATION STYLE
Hao, J., & Leung, H. F. (2014). CUHKagent: An adaptive negotiation strategy for bilateral negotiations over multiple items. Studies in Computational Intelligence, 535, 171–179. https://doi.org/10.1007/978-4-431-54758-7_11
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