There are three main simulation paradigms. They are as follows: discrete-event modeling, system dynamics and agent-based modeling. In this set, the agent-based paradigm is the one geared towards economic and social system modelling, and, thus, called ‘the right mathematics for the social sciences'. When it was decided to explore communications in an economic system, it has become evident that the most suitable technology for economic system model engineering is the agent-based technology, whose concepts and software toolkits have been developed greatly during several past decades. This paper discusses the process of toolkit choice for communication model engineering, reveals some problems that can be solved with this model and delivers some specific results which were obtained via simulations. Some interesting phenomena were revealed while experimenting with this model.