CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items

  • Jianye HaoEmail author
  • Ho-fung Leung
Part of the Studies in Computational Intelligence book series (SCI, volume 535)


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.


Adaption Negotiation Reinforcement learning 


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Copyright information

© Springer Japan 2014

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringThe Chinese University of Hong KongHong KongChina

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