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Agent-based Multi-Factors Adaptive Negotiation in E-Commerce

机译:电子商务中基于代理的多因素自适应协商

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With the rapid growth of Electronic Commerce, there is growing demand and great potential for online negotiation services. Negotiation is a process between buyers and sellers in a business transaction trying to reach an agreement on one or more issues. The outcome of the negotiation depends on several parameters such as the Agents’ strategies and the knowledge one Agent has about the others. It is important that an Agent chooses a proper negotiation strategy based on negotiation factors in order to achieve its maximum utility. In this paper, we first propose a negotiation model according to Agent’s four factors: belief, time, competition and opportunity. Based on this model, we then present an adaptive negotiation strategy that a negotiator can use to increase its utility. The strategy adapts itself based on information obtained from the negotiation process. Our experimental results show that buyer Agent and seller Agent can obtain their maximum utilities and the best satisfaction degrees through the adaptive negotiation strategy.
机译:随着电子商务的快速发展,在线谈判服务的需求不断增长,潜力巨大。谈判是买卖双方在业务交易中试图就一个或多个问题达成协议的过程。协商的结果取决于几个参数,例如特工的策略以及一个特工对其他特工的了解。重要的是,代理必须根据协商因素选择适当的协商策略,以实现其最大效用。在本文中,我们首先根据Agent的四个因素(信念,时间,竞争和机会)提出一种协商模型。然后,基于此模型,我们提出了一种自适应协商策略,谈判者可以使用该策略来提高其效用。该策略根据从协商过程中获得的信息进行调整。我们的实验结果表明,买方Agent和卖方Agent可以通过自适应协商策略获得最大的效用和最佳的满意度。

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