By Topic

On the Path Towards Autonomic Computing: Combining Swarm Intelligence and Excitable Media Models

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Fernandez-Carrasco, L.M. ; Center for Intell. Syst., Inst. Tecnol. y de Estudios Superiores de Monterrey Monterrey, Monterrey ; Terashima-Marin, H. ; Valenzuela-Rendon, M.

The present article presents an approach towards the emergent field of autonomic computing by combining swarm intelligence and excitable media. It is believed that the combination of these scientific fields is capable of generating two important self-* properties required by autonomic systems: self-organization and self-configuration. An agent-based simulation is used to generate swarms, which are then thought as computing tasks; the excitable media is, on the other hand, implemented as a cellular automaton, which is what excites swarms to show autonomic computing features. The results show that combining swarm intelligence and excitable media is a feasible way towards autonomic computing and its desired characteristics, reducing systems' complex design and implementation.

Published in:

Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on

Date of Conference:

27-31 Oct. 2008