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One of the keys for the success of ubiquitous network services is the issue of assigning prices to those services. Furthermore, ubiquitous services based on a network of complementary technologies, both fixed and wireless, have created the expectation of services that can be obtained dynamically and automatically with the minimum possible of interaction between the users and potentially complex network systems. Intelligent agents would negotiate the best conditions to make sure the user obtains the best possible connection always (Voinov & Valladares, 2003). This best possible connection would be selected by comparing the different services, quality of the services offered, and prices, then reaching a decision based on the policies the user has configured in his or her intelligent agent and in conjunction with the policies being presented by the different service providers.