Open multi-agent systems are societies in which autonomous and heterogeneous agents can work towards similar or different ends. In order to cope with the heterogeneity, autonomy and diversity of interests among the different members, those systems establish a set of norms that is used as a mechanism of social control to ensure a desirable social order in which agents work together. Such norms regulate the behaviour of the agents by defining obligations, permissions and prohibitions. Moreover, norms may give stimulus to their fulfillment by defining rewards and may discourage their violation by stating punishments. Although norms are promising mechanisms to regulate agents’ behavior, we should take into account that agents are autonomous entity, so they must be free to decide to fulfill or violate each norm. In this way, agents can use different strategies when deciding to achieve their goals and comply with the norms addressed to themselves. On one hand, agents might choose to achieve their goals without concerning with their norms, i.e., without concerting with the rewards they could receive if they fulfill the norms and the punishments they will receive for violating them. On the other hand, some agents will choose to comply with all the norms although some of their goals may not be achieved. In this context, this work proposes a framework for simulating normative agents that provides the necessary mechanisms to understand the impacts of norms on agents that adopt some of those strategies to deal with norms. The applicability of the framework will be evaluated in two scenarios: the first in the context of prevention of crimes and the second is related to the mission of rescuing civilians who are at risk areas.