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Testing and validating Ambient Intelligence (AmI) services by living labs is not always feasible. The costs involved, specially when considering a large number of users, may be prohibitive. In these cases, an artificial society is required to test the AmI software in a simulated environment. Numerous methodologies deal with the modeling of agents, but this paper contributes with a methodology capable of modeling human beings by using agents, CHROMUBE. This methodology is extended in this paper to include social interactions in its models. This extension of the methodology employs an architecture which maximizes code reuse and allows developers to model numerous kind of interactions (p.e.: voice, e-mail conversations, light panels ads, phone calls, etcetera). An implementation of the architecture is also given with UbikSim and a case study illustrates its use and potential.