  In this paper an agent-based simulation is developed in order to evaluate an
AmI scenario based on agents. Many AmI applications are implemented through
agents but they are not compared to any other existing alternative in order to
evaluate the relative benefits of using them. The proposal simulation
environment developed in Netlogo analyse such benefits using two evaluation
criteria: First, measuring agent satisfaction of different types of desires
along the execution. Second, measuring time savings obtained through a correct
use of context information.
  So, here, a previously suggested agent architecture, an ontology and a
12-steps protocol to provide AmI services in airports, is evaluated using a
NetLogo simulation environment. The present work uses a NetLogo model
considering scalability problems of this application domain but using FIPA and
BDI extensions to be coherent with our previous works and our previous JADE
implementation of them.
  The NetLogo model presented simulates an airport with agent users passing
through several zones located in a specific order in a map: passport controls,
check-in counters of airline companies, boarding gates, different types of
shopping. Although initial data in simulations are generated randomly, and the
model is just an approximation of real-world airports, the definition of this
case of use of Ambient Intelligence through NetLogo agents opens an interesting
way to evaluate the benefits of using Ambient Intelligence, which is a
significant contribution to the final development of them.
