Abstract
In this paper, we present a Multi Agent System aimed to support an user on the realization of different leisure and tourist activities in a city. The system integrates agents that cooperate to dynamically capture the user profile and to obtain a list of suitable and satisfactory activities for the user, by using the experience acquired through the interaction of the user and similar users with the system. Moreover, the system is also able to generate a time schedule of the list of recommended activities thus forming a real activity plan. This paper focuses on the architecture and functional behaviour of our system.
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Sebastia, L., Giret, A., Garcia, I. (2010). A Multi Agent Architecture for Tourism Recommendation. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_64
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DOI: https://doi.org/10.1007/978-3-642-12433-4_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12432-7
Online ISBN: 978-3-642-12433-4
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