Showing posts from July, 2012

Uncertainty after the presidential elections in Mexico

Enrique Peña Nieto obtained the majority of votes on July 1st. However, there is huge evidence of electoral crimes committed by his party (paying people for votes, conditioning public services for votes, use of public resources for campaigns, etc.) and an obvious excess of campaign spending limits. The Electoral Federal Court has to announce a result on the election by September 6th, with a large sector of the population demanding new elections, which would imply an interim president.

New draft: Measuring the Complexity of Ultra-Large-Scale Evolutionary Systems

Ultra-large scale (ULS) systems are becoming pervasive. They are inherently complex, which makes their design and control a challenge for traditional methods. Here we propose the design and analysis of ULS systems using measures of complexity, emergence, self-organization, and homeostasis based on information theory. We evaluate the proposal with a ULS computing system provided with genetic adaptation mechanisms. We show the evolution of the system with stable and also changing workload, using different fitness functions. When the adaptive plan forces the system to converge to a predefined performance level, the nodes may result in highly unstable configurations, that correspond to a high variance in time of the measured complexity. Conversely, if the adaptive plan is less "aggressive", the system may be more stable, but the optimal performance may not be achieved. Measuring the Complexity of Ultra-Large-Scale Evolutionary Systems, Michele Amoretti, Carlos Gershenson. Subm