Sensitive dependence of complex systems: an agent-based modelling demonstration
by Mahmoud T. Khasawneh; Jun Zhang
International Journal of Computer Applications in Technology (IJCAT), Vol. 54, No. 3, 2016

Abstract: The objective of this paper is to provide insights about the phenomenon of sensitive dependence of complex systems on initial conditions (i.e., the butterfly effect). An agent-directed simulation of a case study is presented to demonstrate and investigate this phenomenon. The case study used is exploring the impact of one person on a population's genome. A population growth simulation was created as a baseline. Every agent in the population was given a unique ten-digit identifier to represent their DNA coding. Other simulations were run with small perturbation factors introduced to the initial conditions. Results show that mild perturbations introduced to a population growth model can significantly alter the genetic structure of a population in the long term. Furthermore, the simulation revealed a positive relationship between the complexity of the system and the speed at which the butterfly effect emerges.

Online publication date: Wed, 19-Oct-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email