A Tourism Recommender Agent: from theory to practice.

Abstract

In this paper a multiagent Tourism Recommender System is presented. This system has a multiagent architecture and one of its main agents, the Travel Assistant Agent (T-Agent), is modelled as a graded BDI agent. The graded BDI agent model allows us to specify an agent architecture able to deal with the environment uncertainty and with graded mental attitudes. We focus on the implementational aspects of the multiagent system and specially on the T-Agent development, going from the theoretical agent model to a concrete agent implementation.