TY - JOUR T1 - Measuring the Complexity of Self-organizing Traffic Lights JF - Entropy Y1 - 2014 A1 - Darío Zubillaga A1 - Geovany Cruz A1 - Luis Daniel Aguilar A1 - Jorge Zapotécatl A1 - Nelson Fernández A1 - José Aguilar A1 - David A. Rosenblueth A1 - Carlos Gershenson AB - We apply measures of complexity, emergence, and self-organization to an urban traffic model for comparing a traditional traffic-light coordination method with a self-organizing method in two scenarios: cyclic boundaries and non-orientable boundaries. We show that the measures are useful to identify and characterize different dynamical phases. It becomes clear that different operation regimes are required for different traffic demands. Thus, not only is traffic a non-stationary problem, requiring controllers to adapt constantly; controllers must also change drastically the complexity of their behavior depending on the demand. Based on our measures and extending Ashby's law of requisite variety, we can say that the self-organizing method achieves an adaptability level comparable to that of a living system. VL - 16 UR - http://dx.doi.org/10.3390/e16052384 ER - TY - CONF T1 - Sistemas Dinámicos como Redes Computacionales de Agentes para la evaluación de sus Propiedades Emergentes. T2 - II Simposio Cient{\'ıfico y Tecnológico en Computación SCTC 2012 Y1 - 2012 A1 - Nelson Fernández A1 - José Aguilar A1 - Carlos Gershenson A1 - Oswaldo Terán JF - II Simposio Cient{\'ıfico y Tecnológico en Computación SCTC 2012 CY - Universidad Central de Venezuela ER -