Evolution in ecological agent systems
by Miguel Lurgi; David Robertson
International Journal of Bio-Inspired Computation (IJBIC), Vol. 3, No. 6, 2011

Abstract: In this paper, we describe an ecologically inspired technique for the development of interaction centred agent systems which facilitates the emergence of organisational patterns that are often found in ecological networks between mutualistic species. We then extend this approach with the introduction of a genetic algorithm that explores the space of parameters these agents employ for making decisions about the interactions they are willing to embark upon and argue that this approximation lays the ground for coevolutionary change between agents in the system, enhancing in this way their adaptive ability and the persistence of the society of agents as a whole.

Online publication date: Wed, 12-Nov-2014

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 Bio-Inspired Computation (IJBIC):
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 subs@inderscience.com