| 应用记忆演化学习的Agent协商研究 |
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| 引用本文： | 廉佐政,王海珍,邓文新,滕艳平.应用记忆演化学习的Agent协商研究[J].计算机工程与应用,2009,45(19):131-133. |
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| 作者姓名： | 廉佐政 王海珍 邓文新 滕艳平 |
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| 作者单位： | 1. 齐齐哈尔大学,计算中心,黑龙江,齐齐哈尔,161006
2. 齐齐哈尔大学,计算机与控制工程学院,黑龙江,齐齐哈尔,161006 |
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| 摘 要： | 在多Agent系统(MAS)环境中,协商是一个复杂的动态交互过程。如何提高协商效率,成为了研究者关注的焦点。应用记忆演化理论的强化学习思想,提出一种Agent协商算法。它与基本强化学习相比,3阶段的记忆演化的强化学习,使得Agent可以在实时回报与延迟回报间更好的做出平衡,并为Agent记忆社会化交互创造条件,使强化学习更适合MAS的要求。通过模拟实验证明该协商算法是有效性的。
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| 关 键 词： | 记忆演化 协商算法 强化学习 |
| 收稿时间： | 2008-10-30 |
| 修稿时间： | 2008-12-26
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Novel Agent negotiation algorithm based on memory-evolution reinforcement learning |
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| LIAN Zuo-zheng,Wang Hai-zhen,DENG Wen-xin,TENG Yan-ping.Novel Agent negotiation algorithm based on memory-evolution reinforcement learning[J].Computer Engineering and Applications,2009,45(19):131-133. |
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| Authors: | LIAN Zuo-zheng Wang Hai-zhen DENG Wen-xin TENG Yan-ping |
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| Affiliation: | LIAN Zuo-zheng1,WANG Hai-zhen2,DENG Wen-xin1,TENG Yan-ping2 1.Computer Center,Qiqihar University,Qiqihar,Heilongjiang 161006,China 2.Department of Computer , Control Engineering,China |
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| Abstract: | In Multi-Agent System(MAS),negotiation between agents is a complicated process in which negotiation agents mutually exchange offers.How to improve the negotiation efficiency between agents has become the focus on which the researchers pays attention.The paper proposes Agent negotiation algorithm which introduces the reinforcement learning idea based on memory - evolution theory.Compared with standard reinforcement learning,the negotiation algorithm included three stage memory-evolution reinforcement learnin... |
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| Keywords: | memory-evolution negotiation algorithm reinforcement leaning |
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