Abstract
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.
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Hao, J., Leung, Hf. (2014). CUHKAgent: An Adaptive Negotiation Strategy for Bilateral Negotiations over Multiple Items. In: Marsa-Maestre, I., Lopez-Carmona, M., Ito, T., Zhang, M., Bai, Q., Fujita, K. (eds) Novel Insights in Agent-based Complex Automated Negotiation. Studies in Computational Intelligence, vol 535. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54758-7_11
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DOI: https://doi.org/10.1007/978-4-431-54758-7_11
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