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集成博弈和多智能体的人群工作互动行为研究
引用本文:蒋国银,胡斌.集成博弈和多智能体的人群工作互动行为研究[J].管理科学学报,2011,14(2):29-41.
作者姓名:蒋国银  胡斌
作者单位:蒋国银,JIANG Guo-yin(华中科技大学管理学院,武汉430074;湖北经济学院信息管理学院,武汉430205);胡斌,HU Bin(华中科技大学管理学院,武汉,430074)
基金项目:国家自然科学基金资助项目,湖北省教育厅人文社科资助项目
摘    要:基于进化博弈视角,对人群工作互动行为进行多智能体模拟研究.建立了收益和惩罚共享的群体工作收益博弈模型,考虑工作个体的个性决策特征,设计基于历史信息和个体决策特性的混合学习规则,并用多智能体方法对群体工作场景进行描述.在Repast类库基础上,用Ja-va实现该多智能体模拟系统.模拟结果表明:1)群体规模对宏观工作趋势影...

关 键 词:进化博弈  互动行为  多智能体  混合学习

Study on interaction behavior between group and work based on game and multi-agent
JIANG Guo-yin,HU Bin.Study on interaction behavior between group and work based on game and multi-agent[J].Journal of Management Sciences in China,2011,14(2):29-41.
Authors:JIANG Guo-yin  HU Bin
Institution:JIANG Guo-yin1,2,HU Bin11.School of Management,Huazhong University of Science and Technology,Wuhan,430074,China,2.School of Information Management,Hubei University of Economics,430205
Abstract:Agent-based simulation for interaction behavior between group and work was explored from an evolutionary game-theoretical perspective.This paper develops a payoff-shared and punishment-shared game model,design evolution learning rules considering of historical information and decision characteristic of neighbors,and uses multi-agent approach to represent group work.Based on class lib of Repast,we use Java 2 to program the multi-agent simulation system.Simulation results indicate that(1) the size of work gro...
Keywords:evolutionary game  interaction behavior  multi-agent  combination learning  
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