Decision Making in Networks: A Model of Awareness Raising

This work investigates how interpersonal interactions among individuals could affect the dynamics of awareness raising. Even though previous studies on mathematical models in decision making context demonstrate level results from self-observation impinged by optimal selections and external uncertainties, an explicit accounting interaction is missing. Here we introduce for first time a theoretical framework to evaluate effect individual exerted with neighbor agents. task performed embedding single agent model into graph allowing different agents interact means suitable coupling functions. The presence network allows, global point view, emergence diffusion mechanisms which population tends reach homogeneous attractors, and, them, one highest awareness. structural behavioral patterns, such as initial levels relative importance assigns their own state respect others’, may drive real actors stress effective actions increasing