Ambient intelligence (Aml) is a discipline that makes the environments we visit everyday sensitive to us by adding sensors to measure our surroundings and actuators to interact with both the environment and the people in it. But the problem emerges when trying to convert a space into an ambient intelligence environment or to modify one that already exists. This is where a simulator could help to arrive to an optimal set up without the need of expending money installing the required devices until we are sure we have achieved the desired configuration. In this paper we propose the architecture for the integration of social simulation with network simulation in order to create a whole ambient intelligence environment simulator.