IDEAS home Printed from https://ideas.repec.org/a/igg/jsir00/v5y2014i1p55-107.html
   My bibliography  Save this article

Monitoring the Vital Signs in a Complex Social System: An Example Using Cultural Algorithms

Author

Listed:
  • Xiangdong Che

    (College of Technology, Eastern Michigan University, Ypsilanti, MI, USA)

  • Areej Salaymeh

    (Department of Computer Science, Wayne State University, Detroit, MI, USA)

  • Robert Reynolds

    (Department of Computer Science, Wayne State University, Detroit, MI, USA)

Abstract

It has been conjectured that “Culture is an optimizing process”. That is, the social structures that emerge in a given organization support the efficient solution of problems that the organization must deal with. Here we will present an escalating sequence of static problems to our system. Our goal will be to study how the social network infrastructure affects the overall performance of social system of a given complexity. We develop a Cultural Engine metaphor in terms of measures used to describe the entropy of each of the Cultural Algorithm components. The influence function worked analogous to Maxwell's Demon in order to inject new entropy into the system so as to counteract the effect of the second law of thermodynamics. We then applied the system to the solution of a 150 randomly generated problems of varying complexity produced by a problem generation system based upon complexity theory.

Suggested Citation

  • Xiangdong Che & Areej Salaymeh & Robert Reynolds, 2014. "Monitoring the Vital Signs in a Complex Social System: An Example Using Cultural Algorithms," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 5(1), pages 55-107, January.
    • Handle: RePEc:igg:jsir00:v:5:y:2014:i:1:p:55-107
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsir.2014010103
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jsir00:v:5:y:2014:i:1:p:55-107. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.