Nowadays, multi-agent simulations are often used to study complex systems, in particular in social sciences. However, most of the time, the developed models propose a simplistic modeling of the behavior of the different actors because of the lack of simple tools allowing the development of more complex agents. In order to fill this lack, this paper presents a cognitive agent architecture coupled with an emotional engine usable through a modeling language easy to understand by non computer scientists. This ease of use is illustrated through an example dealing with the evacuation of a city.