A proposed norms´ benefits awareness framework for norms adoption

Several works have been conducted on norms detection and identification, but almost none has been found to explore the concept of norm´s benefit awareness that triggers agents´ belief to adopt new norms. The literature discuss norms´ adoption by agents which are not aware of the benefits of the adopted norms, but use some mining algorithms to identify the norms from a set of observed events. In this paper, we propose a novel solution to this problem that calculates the benefit of a norm to its utility and subsequently decides to adopt or reject the norm.