| 一种具有自主学习能力的并发协商模型 |
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| 引用本文： | 张谦,邱玉辉.一种具有自主学习能力的并发协商模型[J].计算机应用,2006,26(3):663-0665. |
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| 作者姓名： | 张谦 邱玉辉 |
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| 作者单位： | 西南大学,计算机与信息科学学院,重庆,400715 |
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| 摘 要： | 提出一种具有自主学习能力的并发协商模型，通过使用增强学习方法的Q学习算法生成协商提议，使用相似度方法评价提议，使得Agent能够在半竞争、信息不完全和不确定以及存在最大协商时间的情况下，更为有效地完成多议题多Agent并发协商。
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| 关 键 词： | 并发协商 自动协商 增强学习 Q学习 相似度方法 |
| 文章编号： | 1001-9081（2006）03-0663-03 |
| 收稿时间： | 2005-09-26 |
| 修稿时间： | 2005-09-262005-11-21 |
A concurrent negotiation model with automated learning capability |
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| ZHANG Qian,QIU Yu-hui.A concurrent negotiation model with automated learning capability[J].journal of Computer Applications,2006,26(3):663-0665. |
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| Authors: | ZHANG Qian QIU Yu-hui |
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| Affiliation: | College of Computer and Information Science, Southwest University, Chongqing 400715, China |
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| Abstract: | A concurrent negotiation model with automated learning capability was developed in trading environments. By using Q-learning algorithm to propose own proposal and similarity criteria to evaluate the opposing party's proposal, agents can participate in concurrent multi-issue negotiation in semi-competitive situations in which there exists information uncertainty and deadlines. This model enables the negotiation more effective. |
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| Keywords: | concurrent negotiation automated negotiation reinforcement leaming Q-learning similarity criteria |
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