Most of the theoretical foundations which have contributed to shape Artificial Intelligence (AI) as we know it come from the last century. The technological advancement of the last decades however, mainly in the form of faster parallel computation, larger memory units, and Big Data, has dramatically increased the popularity of AI within the research community. Far from being only a pure object of research, AI has been successful in many fields of applications, and it has become deeply integrated into our daily experiences. We live in a society in which on-demand content suggestions are tailored for each customer, where it is possible to order products online by chatting with bots. Smart devices adapts to the owner behavior, the stock exchange brokers are algorithm based on predictive models, and the computers are able to discover new medicines and new materials. Despite the amount of knowledge acquired on AI, there are still many aspects of it that we do not fully understand, such as the interplays within multiple autonomous agents scenarios, in which AIs learn and interact in a shared environment, while possibly being subjected to different goals. In these scenarios the communication and the regulation of the autonomous agents are both extremely relevant aspects. In this work we analyze in which way the language expressiveness affect how agents learn to communicate, to which extent the learned communication is affected by the scenario, and how to allow them to learn the optimal one. We then investigate which communication strategies might be developed in different scenarios when driven by the individual goal, which might lead to improved equality in a cooperative scenario, or more inequality in a competitive one. Another aspect that we consider is the ethics of multiple agents, to which we contribute by proposing a way to discourage unethical behaviors without disabling them, but instead enforcing a set of flexible rules to guide the agents learning. AI success can be determined by its ability to adapt, which ...