计算机科学 ›› 2014, Vol. 41 ›› Issue (3): 238-244.

• 人工智能 • 上一篇    下一篇

基于博弈论的网络信息传播模型的研究

郭艳燕,童向荣,刘其成,龙宇,李晔   

  1. 烟台大学计算机学院 烟台264005;烟台大学计算机学院 烟台264005;烟台大学计算机学院 烟台264005;烟台大学计算机学院 烟台264005;山东省计算中心山东省计算机网络重点实验室 济南250014
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受国家自然科学基金项目(61170224),山东省自然科学基金项目(ZR2011FL018,ZR2012FL07),山东省科技发展计划项目(2012GGB01017),山东省教育厅科技计划项目(J11LG35,J10LG27),山东省计算机网络重点实验室开放课题计划项目(SDKLCN_2012_03),山东省自然科学基金计划青年基金项目(ZR2013FQ020)资助

Models of Network Information Propagation Based on Game Theory

GUO Yan-yan,TONG Xiang-rong,LIU Qi-cheng,LONG Yu and LI Ye   

  • Online:2018-11-14 Published:2018-11-14

摘要: 网络中存在较多暂时无法判断真伪的信息,网民面对这些信息时,选择不转发或转发策略是一种博弈。同时,对于已经拥有信息并且知晓信息真实性的信息传播者,选择发送真实信息或失真信息也是一种博弈。以这种真实的网络信息传播为背景,将博弈论和多Agent技术结合应用到网络信息传播的研究中,建立了多个适用于不同情境的博弈模型。通过收益矩阵分析了现实网络信息传播中行为人的策略选择问题,阐述了各种模型的基本性质和现实意义。在建立模型的过程中充分考虑到网络信息传播的流动性,并将信任机制引入其中,使建立的模型更符合实际网络信息的传播情形,并且为网络信息传播的Agent模拟实验、动态博弈和演化博弈模型的建立打下理论基础。

关键词: 博弈论,多Agent系统,信息传播,信任,谣言 中图法分类号TP18文献标识码A

Abstract: There is a lot of information whose authenticity is unable to be judged temporarily in the Internet.Whether or not to forward this kind of information for the internet users is a kind of game.Also,whether or not to propagate true information for the owner of information who has known the authenticity of information is a kind of game.Taking the real network information propagation as the background and combining the game theory with multi-agent technology,several game models suitable for different network information propagation processes were established.Players’ strategies were analysed through the payoff matrix while the basic properties and the practical significance of the various models were explained.In order to make these models more suitable to the actual situations of the network information propagation,the liquidity of network information transmission and trust mechanism were taken into account in modeling.These models lay a solid foundation for agent simulation experiment and the models of dynamic game and evolutionary game.

Key words: Game theory,Multi-agent systems,Information propagation,Trust,Rumor

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