  Human relationships are complex processes that often involve following
certain rules that regulate interactions and/or expected outcomes. These rules
may be imposed by an authority or established by society. In multi-agent
systems, normative systems have extensively addressed aspects such as norm
synthesis, norm conflict detection, as well as norm emergence. However, if
human behaviour is to be adequately simulated, not only normative aspects but
also emotional aspects have to be taken into account. In this paper, we propose
a Jason agent architecture that incorporates norms and emotions in its
reasoning process to determine which plan (actions) to execute. The proposal is
evaluated through a scenario based on a social network, which allows us to
analyse the benefits of using emotional normative agents to achieve simulations
closer to real human world.
