图书情报工作 ›› 2018, Vol. 62 ›› Issue (19): 86-92.DOI: 10.13266/j.issn.0252-3116.2018.19.011

• 情报研究 • 上一篇    下一篇

合作信息查寻与检索中知识共享的演化博弈研究

王瀚, 韩毅   

  1. 西南大学计算机与信息科学学院 重庆 400715
  • 收稿日期:2018-02-09 修回日期:2018-03-06 出版日期:2018-10-05 发布日期:2018-10-05
  • 通讯作者: 韩毅(ORCID:0000-0001-7021-3229),教授,博士,博士生导师,通讯作者,E-mail:hanyi72@swu.edu.cn
  • 作者简介:王瀚(ORCID:0000-0003-0857-2276),硕士研究生,助理馆员。
  • 基金资助:
    本文系国家社会科学基金项目"语境视角下合作信息查寻与检索的行为机制与相关性模型研究"(项目编号:12BTQ043)研究成果之一。

Research on Evolutionary Game of Knowledge Sharing in Collaborative Information Seeking and Retrieval

Wang Han, Han Yi   

  1. College of Computer and Information Science, Southwest University, Chongqing 400715
  • Received:2018-02-09 Revised:2018-03-06 Online:2018-10-05 Published:2018-10-05

摘要: [目的/意义] 合作信息查寻与检索本质上是知识共享过程,刻画其动态演化过程是研究中的核心问题。[方法/过程] 以知识存量、知识结构和知识质量为变量构建合作信息查寻与检索中知识共享的位势判别函数Epk,并以Epk=50作为高低位势的划分阈值把合作群体划分为两个子群,从合作参与者自身因素、参与者间的相互影响及环境作用3个方面探讨合作信息查寻与检索的影响因素,并以此为基础应用博弈论原理构建合作信息查寻与检索知识共享的演化博弈模型。应用2014版Matlab编写仿真程序,基于给定的初始参数值对演化博弈模型进行多次迭代仿真。[结果/结论] 结果表明:群体参与策略经过多次博弈后趋于稳定;参与者的共享/学习能力与参与者关系对知识共享具有正向影响,成本因素对知识共享有负向影响;演化博弈模型收敛于(1,1),即高位势参与者选择知识共享策略、低位势参与者选择知识学习策略;通过合作过程中不断的知识共享与学习,参与各方的知识结构都会得到不同程度的改善,尤其是知识提供方的改善尤为显著。

关键词: 合作信息查寻与检索, 知识共享, 演化博弈, Matlab仿真

Abstract: [Purpose/significance] Collaborative information seeking and retrieval is essentially a knowledge sharing process, describe its dynamic evolution process is the core issues of research.[Method/process] Epk is a potential discriminant function. In this paper, we took knowledge stock, knowledge structure and knowledge quality as variables, and constructed Epk to depict the participants' ability of knowledge sharing in the collaborative information seeking and retrieval; Then, we divided the collaborative group into two subgroups, which took Epk=50 as high and low potential threshold. We also discussed the influence factors of collaborative information seeking and retrieval from the following three aspects:collaborative participants' own factors and mutual influences, and influences of environment. Moreover,based on the above influence factors and game theory, we constructed a evolutionary game model of knowledge sharing in collaborative information seeking and retrieval. Finally, with the 2014 edition Matlab, we wrote the simulation programs, and performed multiple iterative simulations for evolutionary game model based on the given initial parameters.[Result/conclusion] The result shows that:the groups' strategies gradually tends to be stable after repeated game; the abilities of shared/learning knowledge and the ties in participants have positive impacts for knowledge sharing, and cost factors have negative effects for knowledge sharing; evolution game model converges to (1, 1), namely the high potential participants choose knowledge sharing strategies and low potential participants choose learning strategies; through continuous knowledge sharing and learning in collaborative process, participants' knowledge structure will be improved to different degrees, especially the improvement of knowledge supplier is particularly significant.

Key words: collaborative information seeking and retrieval, knowledge sharing, evolutionary game, Matlab simulation

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