Knowledge discovery for adaptive negotiation agents in e-marketplaces
Knowledge discovery for adaptive negotiation agents in e-marketplaces
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DOI：
10.1016/j.dss.2007.12.018
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发表时间：
2008-05
期刊：
影响因子：
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通讯作者：
Raymond Y. K. Lau;Yuefeng Li;D. Song;R. Kwok
中科院分区：
文献类型：
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作者：
Raymond Y. K. Lau;Yuefeng Li;D. Song;R. Kwok
智能软件代理在提高电子商务电子市场的有效性方面很有前途。虽然已经进行了大量的研究，以开发电子市场的谈判协议和机制，现有的谈判机制是薄弱的，在处理复杂的和动态的谈判空间，经常发现在电子商务。本文提出了一种新的知识发现方法和概率协商决策机制，以提高协商代理的性能。我们的初步实验表明，概率协商代理授权的知识发现机制是更有效的和高效的Pareto最优协商代理在模拟电子市场。
Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for e-marketplaces, existing negotiation mechanisms are weak in dealing with complex and dynamic negotiation spaces often found in e-commerce. This paper illustrates a novel knowledge discovery method and a probabilistic negotiation decision making mechanism to improve the performance of negotiation agents. Our preliminary experiments show that the probabilistic negotiation agents empowered by knowledge discovery mechanisms are more effective and efficient than the Pareto optimal negotiation agents in simulated e-marketplaces.