基于添加惩罚策略的囚徒困境博弈的网络演化模型与分析

葛美侠,赵建立,李莹

系统科学与数学 ›› 2016, Vol. 36 ›› Issue (11) : 2041-2048.

PDF(367 KB)
PDF(367 KB)
系统科学与数学 ›› 2016, Vol. 36 ›› Issue (11) : 2041-2048. DOI: 10.12341/jssms12971
论文

基于添加惩罚策略的囚徒困境博弈的网络演化模型与分析

    葛美侠,赵建立,李莹
作者信息 +

MODELING AND ANALYSIS OF NETWORK EVOLUTION BASED ON PRISONER'S DILEMMA GAME WITH PUNISHMENT STRATEGY

    Ge Meixia , Zhao Jianli ,Li Ying
Author information +
文章历史 +

摘要

研究了基于添加惩罚策略的囚徒困境 博弈的网络演化模型. 利用矩阵的半张量积方法, 建立了该 网络演化博弈的数学模型, 并结合逻辑的矩阵表达, 将该数学模型表示成动态逻辑系统并转化成代数形式. 然后, 对其动态演化过程进行分析, 讨论了最终合作水平. 最后, 通过例子对结论进行验证.

Abstract

This paper investigates the modeling and analysis of network evolution based on prisoner's dilemma game with punishment strategy.\ Using the method of semi-tensor product of matrices ,\ the mathematical model of the networked evolutionary game is built .\ The networked evolutionary game is expressed as a logical dynamic system and then converted into its algebraic form rely on the matrix expression of logic and the method of seme-tensor product of matrices.\ Next,\ the dynamic evolution process is analysed and the final cooperation levels of the networked evolutionary game is discussed.\ Finally,\ an illustrative example is given to show the effectiveness of our main results.

关键词

惩罚策略 / 网络演化博弈 / 矩阵的半张量积 / 合作水平.

引用本文

导出引用
葛美侠 , 赵建立 , 李莹. 基于添加惩罚策略的囚徒困境博弈的网络演化模型与分析. 系统科学与数学, 2016, 36(11): 2041-2048. https://doi.org/10.12341/jssms12971
Ge Meixia , Zhao Jianli , Li Ying. MODELING AND ANALYSIS OF NETWORK EVOLUTION BASED ON PRISONER'S DILEMMA GAME WITH PUNISHMENT STRATEGY. Journal of Systems Science and Mathematical Sciences, 2016, 36(11): 2041-2048 https://doi.org/10.12341/jssms12971
中图分类号: 03B05   
PDF(367 KB)

307

Accesses

0

Citation

Detail

段落导航
相关文章

/