EconPapers    
Economics at your fingertips  
 

Bottom-Up and Top-Down Approaches to Simulate Complex Social Phenomena

Ahmed M'hamdi and Mohamed Nemiche
Additional contact information
Ahmed M'hamdi: Ibn Zohr University, Agadir, Morocco
Mohamed Nemiche: Ibn Zohr University, Agadir, Morocco

International Journal of Applied Evolutionary Computation (IJAEC), 2018, vol. 9, issue 2, 1-16

Abstract: Social science research is concerned with the study of processes and phenomena in human societies, institutions and organizations. Social phenomena are complex due to many non-linear interactions between their elements. Social simulation represents a new paradigm for understanding social complexity with approaches that use advanced computational capabilities. The success of social simulation is largely due to its capability to test and validate hypotheses of social phenomena by the construction of virtual laboratories. This paper provides an introduction to social simulation and discusses approaches to model complex social phenomena.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAEC.2018040101 (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:jaec00:v:9:y:2018:i:2:p:1-16

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jaec00:v:9:y:2018:i:2:p:1-16