A system for social network analysis

As new technologies advance, simulations and computational experiments are increasingly interesting alternatives for the scientific study of specific working principles of a real system. The goal of this project is the development of a system to support experiments in primates behavior psychology that seeks evaluating the learning processes (usage of tools for breaking encapsulated fruits) through observation and experiments that may emerge in an autonomous agents group (represented by Capuchin monkeys). The experiment focuses on analyzing data through simulations for the prediction of social behavior associated to some cognitive skills. The dissemination of information occur through the group social structure, which is represented by a graph object that has been built based on theorems and algorithms from the graph theory. When a simulation of a complex society behavior is performed, it is important to highlight that it takes places over a mathematical model which is not able to represent neither animals mental properties nor the real shape of a society behavior. Thus, the behavior of these agents is naturally limited to characteristics present in computational models, so agents mental models and their corresponding social behaviors are naturally reality sim plifications.