| 基于博弈分析的自动协商系统 |
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| 引用本文： | 肖齐,郁松年.基于博弈分析的自动协商系统[J].计算机工程与设计,2006,27(21):3998-4001. |
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| 作者姓名： | 肖齐 郁松年 |
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| 作者单位： | 上海大学,计算机工程与科学学院,上海,200072 |
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| 基金项目： | 上海市科委资助项目;上海市教委资助项目 |
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| 摘 要： | 自动协商作为一个热点已经研究了很多年。大多数研究工作都着重于研究独立协商应用的抽象和理论模型，而对于实际算法的应用性只做了很少的工作。主要提出了一种基于博弈论的比较有效的协商模型来解决协商中的冲突。在该模型中利用遗传算法进行策略优化，而利用另外一个算法对已有的No-Fear-of-Deviation（NFD）算法进行了改进。
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| 关 键 词： | 博弈论 自动协商 帕累托有效性 遗传算法 纳什均衡 |
| 文章编号： | 1000-7024（2006）21-3998-04 |
| 收稿时间： | 2005-09-20 |
| 修稿时间： | 2005-09-20 |
Automated negotiation system based on game theory |
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| XIAO Qi,YU Song-nian.Automated negotiation system based on game theory[J].Computer Engineering and Design,2006,27(21):3998-4001. |
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| Authors: | XIAO Qi YU Song-nian |
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| Affiliation: | School of Computer Engineering and Science, Shanghai University, Shanghai 200072, China |
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| Abstract: | Automated negotiations have been an active research topic for many years.Most of the research work on this area focuses either on the abstract and theoretical models or on the system architectures for standalone negotiation applications.There is little work on identifying and studying practical algorithms for automated negotiations.An effective negotiate model is proposed to solve the conflict in negotiation process.In this model GA(genetic algorithm) is used to optimize the agent's strategies and anotherpareto optimal solution algorithm is used to improve the no-fear-of-deviation(NFD)1] algorithm. |
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| Keywords: | game theory automated negotiation Pareto efficiency genetic algorithm Nash equilibrium |
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