Sharing resources in a P2P network with artificial ants

Abstract

As networks are growing up, more and more information becomes available every day. Despite the presence of software enabling communications and content sharing, they are not always shared among people inside networks. We present here an architecture aimed at helping people to share information items and find collaborators inside an organization. It is part of our PIAF framework, an intelligent agent system used to develop recommender and personalization software. The main contribution of this paper is the introduction of principles of stigmergy and artificial ants to model data flows in a social network. © 2007 Springer Science + Business Media B.V.