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A study on dynamic bargaining strategy under time constraints and with incomplete information

机译：时间约束和信息不完全的动态讨价还价策略研究

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摘要

On the Internet, the bilateral bargaining agents would often fall into failure or cause poor utility value at the end of bargaining under time constraints and with incomplete information. The core issue of bargaining between agents on the Internet is the bargaining strategies. However, under time constraints and with incomplete information, the bilateral agents tend to obtain poor utility value. This outcome usually causes the fail bargaining. To overcome the problem, this paper proposes a dynamic bargaining algorithm with novel and simple characteristics to make offers. The algorithm predicts the opponent's possible offers for the consecutive rounds with little information about its opponent's deadline, reservation price, and bargaining strategy. Then, it revises its offer function to maximize its utility in one possible agreement point. The experiments show that the algorithm would enhance the ratio of reaching agreement and the utility value at the end of the bargaining.
机译：在Internet上，双边谈判代理往往会因时间限制和信息不完整而在谈判结束时陷入失败或导致效用价值低下。互联网上代理之间的讨价还价的核心问题是讨价还价策略。但是，在时间限制和信息不完整的情况下，双边代理人倾向于获得较差的效用价值。这种结果通常会导致失败的讨价还价。为了克服这个问题，本文提出了一种具有新颖，简单特征的动态讨价还价算法。该算法几乎不了解对手的截止日期，预订价格和讨价还价策略，从而可以预测对手连续几轮的报价。然后，它在一个可能的协议点中修改其提供功能以最大程度地发挥其效用。实验表明，该算法可提高议价结束时达成协议的比例和实用价值。

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