Combining Cooperative and Non-Cooperative Automated Negotiations

Combining Cooperative and Non-Cooperative Automated Negotiations
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结合合作和非合作自动谈判

DOI:
10.1007/s10796-005-4810-8
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发表时间:
2005
影响因子:
5.9
通讯作者:
V. Soo
V. Soo
中科院分区:
计算机科学3区
文献类型:
--
作者:
Jen;K. Chao;Nick Godwin;V. Soo

文献摘要

被引文献

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自动协商是促进电子商务发展的关键问题。这是一个正在进行的研究领域,吸引了研究界和产业界的关注。本文提出了一种多阶段协作的自动协商体系结构,包括一种复杂的协商策略和协议,以解决代理之间的冲突。该体系结构试图解决在大型和复杂的问题空间中使用共同进化方法寻找谈判代理的联合效率。采用博弈论方法对协同进化方法产生的收益进行分配。该体系结构支持这两种方法之间的交互,以证明可以通过它们的互补功能找到高质量的解决方案。使用该结构,可以通过迭代过程来完善和探索潜在的协议。本文还报道了一些实验结果和讨论。
Automated negotiation is a key issue to facilitate e-Business. It is an on-going research area and attracts attention from both research communities and industry. In this paper, we propose a multiple-stage co-operative automated negotiation architecture, including a sophisticated negotiation strategy and protocol, to resolve the agents' conflicts. This proposed architecture attempts to address the search for joint efficiency for negotiating agents in large and complex problem spaces using a co-evolutionary method. A game theoretic method is adapted to distribute the payoffs generated from the co-evolutionary method. The architecture supports interactions between the two methods to demonstrate that high-quality solutions can be found through their complimentary functions. Using the structure it is possible to refine and explore potential agreements through an iterated process. This article also reports some experimental results and discussions.