多阶段合作谈判

Jen-Hsiang Chen, K. Chao, Nick Godwin, V. Soo
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引用次数: 8

摘要

自动协商是促进电子商务的一个关键问题。这是一个持续的研究领域,吸引了研究界和工业界的关注。我们提出了一种多阶段协作式自动协商架构,包括复杂的协商策略和协议,以解决agent间的冲突。这个提议的架构试图使用共同进化方法来解决大型复杂问题空间中谈判代理的联合效率的发现。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细化和探索潜在的协议。本文还报道了一些实验结果和讨论。
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A multiple-stage cooperative negotiation
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. We propose a multiple-stage cooperative automated negotiation architecture, including a sophisticated negotiation strategy and protocol, to resolve the agents' conflicts. This proposed architecture attempts to address the discovery of joint efficiency for the negotiating agents in large and complex problem spaces using a coevolutionary method. A game theoretic method is adapted to distribute the payoffs generated from the coevolutionary 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.
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