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.
Gasparetti, F., Micarelli, A. (2004). Swarm Intelligence: Agents for Adaptive Web Search. In Proc. 16th European Conference on Artificial Intelligence ECAI 2004 (pp.1019-1020). Amsterdam : IOS Press.
Swarm Intelligence: Agents for Adaptive Web Search
GASPARETTI, FABIO;MICARELLI, Alessandro
2004-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
