Abstract
The Personal Intelligent Agents Framework (PIAF) is a framework developped in the context of research on smart web browsers. Compared to a classical browser, this smart browser should help the user to find and share information using the Internet network. This paper presents algorithms used in PIAF for the selective dissemination of information in a P2P network. They use ideas from epidemic systems and are based on an artificial ant colony model. The main contribution made to the domain of selective information diffusion is the use of estimated profiles defined by pheromone trails associated to connections between peers.