Simulation analysis of evolutionary game based on multi-agent model knowledge transfer behavior

被引:0
作者
机构
[1] School of Information Management, Jiangxi University of Finance and Economics, Nanchang, Jiangxi
来源
Yang, B. | 1600年 / Asian Network for Scientific Information卷 / 12期
关键词
Awarm; Evolutionary game; Knowledge transfer; Multi-Agent; Overall modeling simulation;
D O I
10.3923/itj.2013.4693.4698
中图分类号
学科分类号
摘要
Based on evolutionary game theory and knowledge transfer theory, using the complex adaptive system (Multi-Agent)'s overall modeling stimulation approach, adopting Swarm simulation software platform to create the multi-agent stimulating Knowledge Transfer Behavior Model-evolutionary Game Model (KTGM), then depicting the model's main attributes, behavioral rules and algorithm, under the various parameters conducting models to analysis the symmetrical cooperative game's evolutionary game simulation of the main knowledge transfer behavior, obtain the strategy adopted from the main behavior bodies' knowledge transfer activities, meanwhile the establishment and operation of model also provide an effective way to study the knowledge transfer driving behavior at all levels. © 2013 Asian Network for Scientific Information.
引用
收藏
页码:4693 / 4698
页数:5
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