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The web from a complex adaptive systems perspective

Authors: 
Maya Rupert
Amjad Rattrout
Salima Hassas
Journal Name: 
ELSEVIER-Journal of Computer and System Sciences
Volume: 
74
Issue: 
2
Pages From: 
133
To: 
145
Date: 
Saturday, March 1, 2008
Keywords: 
WebComplex adaptive systemsMulti-agent systemsWeb content organization
Abstract: 
The web continues to grow at a phenomenal rate, and the amount of information on the web is overwhelming. Finding the relevant information remains a big challenge. Due to its wide distribution, its openness and high dynamics, the web is a complex system, for which we have to imagine mechanisms of content maintaining, filtering and organizing that are able to deal with its evolving dynamics and distribution. Integrating mechanisms of self-organization of the web content is an attractive perspective, to match with these requirements. Self-organized complex systems can be programmed using situated multi-agent systems with a coupling between the agents' social organization and spatial organization. This paper explores the web from a complex adaptive system (CAS) perspective. It reviews some characteristic behaviors of CASs and shows how the web exhibits similar behaviors. We propose a model and a prototype of a system that addresses the dynamic web content organization, adopting the CAS vision and using the multi-agent paradigm.