A Multiagent Approach for Travel Planning on Internet


In the last years, the amount of information stored in Internet has grown exponentially. This article presents a new approach to cooperative problem solving that uses the Web as a source of data. The architecture has been designed using two main Artificial Intelligence techniques: Multiagent System design, and classical resolution problem solving (like planning). Both are used to obtain a new architecture that is tested with knowledge obtained dynamically from Internet. The system uses two different types of agents: planning agents and web agents. Planning agents pay attention to the user’s queries and solve his/her problems at a high level of abstraction, web agents fill in the details obtaining the required information from Internet.

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@inproceedings{Fernndez2007AMA, title={A Multiagent Approach for Travel Planning on Internet}, author={David Fern{\'a}ndez and Jos{\'e} Manuel Molina and Daniel Millan}, year={2007} }