Abstract-Norms have become a promising mechanism to ensure that open multi-agent systems (MASs) produce a desirable social outcome. MASs can be defined as societies in which autonomous agents work to achieve both societal and individual goals. Norms regulate the behavior of agents by defining permissions, obligations and prohibitions, as well as encouraging and discouraging the fulfillment of norms through rewards and punishments mechanisms. Once the priority of software agent is the satisfaction of its own desires and goals, each agent must evaluate the effects associated to the fulfillment or violation of one or more norms before choosing which one should be complied. This paper introduces a framework for normative MASs simulation that provides mechanisms for understanding the impact of norms on an agent and the society to which an agent belongs.

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The rapidly changing environments in which companies operate to support the Internet of Things (IoT) and Autonomous Vehicles is challenging traditional Multi-agent System (MAS) approaches. The requirements of these highly dynamic environments gave rise to Adaptive Normative MAS approaches. At the same time, governance is an essential and challenging feature that still needs to be addressed in adaptive normative MAS. Indeed, governance of individual and societal agent behavior in Adaptive Normative MASs is still a vague concept that has not been properly investigated, modeled and implemented. However, governance is fundamental for solving problems involving MAS coordination, organizations and institutions. In this paper, we present our ongoing research towards understanding and improving governance in Adaptive Normative MASs. We also discuss challenges and future directions that will facilitate the development of domain-specific smart IoT systems with governance features.