A Simulate Study on the Resource Introduction Decision Strategy of Library Alliance based on Multi-Agent Modeling

  • Jing Yuan ,
  • Chen Ya ,
  • Zheng Jianming
Expand
  • 1. School of Information Management, Nanjing University, Nanjing 210023;
    2. library of Zhejiang Sci-tech University, Hangzhou 310018

Received date: 2015-04-07

  Revised date: 2015-05-07

  Online published: 2015-05-20

Abstract

[Purpose/significance]Study on the library alliance is lacking the research of internal management mechanism, operation mechanism, big data and mathematical modeling. A Multi-Agent model suitable for resource introduction decision strategy can support scientific and rational decision.[Method/process]This paper introduces the Multi-Agent modeling method, simulates the dynamic multiple interactive evolution process of library-agent and manufacturer-agent by Matlab, and studies different agent decision strategies under different indexes environment.[Result/conclusion]Through the analysis of simulation results, this paper concludes that, library alliance should make decision based on sufficient information resources, choose the appropriate resources introducing strategy according to development conditions and stages by analysis of time series, and take the necessary comprehensive means and promote the internal and external cooperation to realize long-term win-win of all member libraries and companies. The model and method have certain theoretical significance and practical value for further improve and deepen the basic theory of library alliance, enhance efficiency of library development, and improve cooperative development of library alliance for the practical problem.

Cite this article

Jing Yuan , Chen Ya , Zheng Jianming . A Simulate Study on the Resource Introduction Decision Strategy of Library Alliance based on Multi-Agent Modeling[J]. Library and Information Service, 2015 , 59(10) : 41 -47 . DOI: 10.13266/j.issn.0252-3116.2015.10.006

References

[1] Minsky M. Society of mind [M].New York: Simon & Schuster,1988:20-22.
[2] 陈静.基于多Agent的高校数字图书馆个性化信息服务系统模型研究[D].西安:西安电子科技大学,2011.
[3] 虞俊杰.基于Agent技术的数字图书馆互操作方案[J].图书馆学刊,2012(8):108-110.
[4] 李亚婷,刘向,陈雨丝.基于Multi-Agent的学术数字信息资源供应链的垄断策略仿真[J].情报科学,2014(3):131-137.
[5] Moawad I F, Talha H, Hosny E, et al.Agent-based Web search personalization approach using dynamic user profile[J]. Egyptian Informatics Journal, 2012,13 (3):191-198.
[6] 谈大军,高波,贾素娜. 1998-2007年我国图书馆联盟研究综述[J]. 情报理论与实践,2010(4):119-123.
[7] 刘峻青. 图书馆联盟的构建模式和发展机制研究[J]. 中国图书馆学报,2013(8):24-29.
[8] 刘建军.对联盟方式电子图书馆的系统框架设计[J].情报学报,1998(4):296-300.
[9] 陈凌.CALIS转型与可持续发展[P/OL].[2014-11-15].http://www.apabi.cn/news/1/2014/0523/716.html.
[10] Adema J, Schmidt B. From service providers to content producers:New opportunities for libraries in collaborative open access book publishing [J]. New Review of Academic Librarianship,2010,16(81):28-43.
[11] Joshi S. Development and implementation of a MATLAB simulation project for a multidisciplinary graduate course in autonomous robotics[J]. Source of the Document Computer Applications in Engineering Education,2014,12(1):54-64.
[12] Zhu Xiang, Li Daoliang, Rodriguez L F. An agent-based simulation model of a nutrient trading market for natural resources management[J]. Mathematical and Computer Modelling,2010, 54 (3-4):987-994.
[13] Yu Qiangyi, Wu Wenbin, Chen Yangyang, et al. Model application of an agent-based model for simulating crop pattern dynamics at regional scale based on MATLAB[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(12):105-114.

Outlines

/