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

Xiangdong Che, Areej Salaymeh and Robert Reynolds
Additional contact information
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

International Journal of Swarm Intelligence Research (IJSIR), 2014, vol. 5, issue 1, 55-107

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.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 018/ijsir.2014010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jsir00:v:5:y:2014:i:1:p:55-107

Access Statistics for this article

International Journal of Swarm Intelligence Research (IJSIR) is currently edited by Yuhui Shi

More articles in International Journal of Swarm Intelligence Research (IJSIR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().