## I. INTRODUCTION. 

Social human systems are constituted by human agents which interact with a limited number of peers. This perhaps apparently random procedure yields to global regularities: there are order-disorder transitions (spontaneous formation of cultures, the emergence of consensus about different issues, spontaneous formation of a common language), examples of scaling and universality, to mention just a few. These phenomena are now been under intense studies through different techniques. One of them is the so called agent-based modelling [1–6]. 

The interest in the application of such techniques has grown rapidly mainly as a result of the increasing availability of computational capabilities. Today, computer simulations have become an excellent way to model and understand social processes. The usefulness of social simulation modeling results as much from the process (problem specification, model development, and model evaluation) as the product (the final model and simulations of social system dynamics). Nevertheless, social simulations need to be a theory-guided enterprise. Its results will often be the development of explanations, rather than the prediction of specific outcomes [1]. 

Agent-based simulations allows us the possibility to develop a new way of thinking, par- allel to analytical procedures, based on the idea about the emergence of complex behaviors from relatively simple activities [1]. It has great potential to assist in discovery of simple social effects when social scientists build very simple models that focus on some small aspect of the social world and discover the consequences of their theories in the “artificial society” they have built. 

One of those simple models already built is the well known Axelrod model for the study of dissemination of culture [7–9]. He argued that culture “is something people learn from each other”, and hence something that evolves through social influence. To study the process of cultural diffusion Axelrod built a model based on two simple assumptions: 

1. people are more likely to interact with others who share many of their cultural at- tributes, and 

2. these interactions tend to increase the number of cultural attributes they share (thus making them more likely to interact again). 

