Ambient Intelligence applications are designed for large numbers of users who share the same physical environment. Agent-based models and simulations allow us to experiment with populations of heterogeneous agents and therefore represent a promising approach applicable in AmI research. In the paper we introduce the principles of agent-based simulations and we explain the process of simulation experimenting in NetLogo programming environment.
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