ECAI 2004 Conference Paper

Swarm Intelligence: Agents for Adaptive Web Search

Fabio Gasparetti, Alessandro Micarelli

The large amount of available information on the Web makes hard for users to locate resources about their information needs. The conventional search tools do not always successfully cope with this problem and, for this reason, the personalized search systems are receiving increasingly attention, as a well-founded alternative to cope with this problem. In this paper, we present an adaptive and scalable Web search system, based on a multi-agent reactive architecture, which drew inspiration from biological researches on the ant foraging behavior. Its target is to search autonomously information on particular topics, in huge hypertextual collections, such as the Web, exploiting the outstanding properties of the agent architectures. The algorithm has proven to be robust against environmental alterations and adaptive to user's information need changes, discovering valuable evaluation results from standard Web collections.

Keywords: Agents, Topic Driven Crawlers, World-Wide Web

Citation: Fabio Gasparetti, Alessandro Micarelli: Swarm Intelligence: Agents for Adaptive Web Search. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.1019-1020.

ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).