Complexes

The presidential elections in Mexico next July 1st are heating up the political landscape. It has always been a tradition that most media support some candidate, in this case Enrique Peña Nieto (EPN) from PRI, who is ahead in their questionable polls. However, the information spreading on social networks is something they still cannot control. On Friday, May 11th, EPN went to the Universidad Iberoamericana, one of the most recognized private universities in the country, where the students demonstrated their rejection towards him. Of course, none of this was seen in most media, one newspaper even Photoshopping their frontpage picture : However, with half the students filming every moment with their smartphones, the real deal spread like wildfire on social networks and youtube . One of the claims to EPN was a police operation in the town of Atenco in the outskirts of Mexico City, while EPN was governor of the State of Mexico. State and federal police arrested dozens of people, r

I've been meaning to start posting about the upcoming presidential elections to be held in Mexico on July 1st. The current government of Felipe Caledrón (who began his presidency in 2006 amidst proofs of fraud ) has been characterized by a stagnation of the economy and a war declared against (most of) the drug cartels, leading to at least 60,000 people killed so far. Only in Ciudad Juárez, we had ten times the murder rate than in Baghdad during the recent U.S. occupation. Last year, a complaint was filed at the International Court in The Hague against Felipe Calderón and others , accusing them of crimes against humanity. The perspective is not positive for Calderón, since he cannot go abroad like other ex-presidents, and most probably his party (PAN) will lose the presidency, given the failures of the two previous presidents: Calderón and Vicente Fox (2000-2006). The candidates: Josefina Vázquez Mota  "JVM" (PAN), former minister of education and leader of her part

Concepts used in the scientific study of complex systems have become so widespread that their use and abuse has led to ambiguity and confusion in their meaning. In this paper we use information theory to provide abstract and concise measures of complexity, emergence, self-organization, and homeostasis. The purpose is to clarify the meaning of these concepts with the aid of the proposed formal measures. In a simplified version of the measures (focussing on the information produced by a system), emergence becomes the opposite of self-organization, while complexity represents their balance. We use computational experiments on random Boolean networks and elementary cellular automata to illustrate our measures at multiple scales. Gershenson, C. & N. Fernández (2012). Complexity and Information: Measuring Emergence, Self-organization, and Homeostasis at Multiple Scales. C3 Report 2012.03.  http://arxiv.org/abs/1205.2026